{"pageNumber":"525","pageRowStart":"13100","pageSize":"25","recordCount":165914,"records":[{"id":70218747,"text":"70218747 - 2021 - Greenhouse gas emissions from an arid-zone reservoir and their environmental policy significance: Results from existing global models and an exploratory dataset","interactions":[],"lastModifiedDate":"2021-03-10T13:48:59.529423","indexId":"70218747","displayToPublicDate":"2021-03-04T07:22:33","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1563,"text":"Environmental Science and Policy","active":true,"publicationSubtype":{"id":10}},"title":"Greenhouse gas emissions from an arid-zone reservoir and their environmental policy significance: Results from existing global models and an exploratory dataset","docAbstract":"<div id=\"abs0015\" class=\"abstract author\"><div id=\"abst0015\"><p id=\"spar0045\">Reservoirs in arid regions often provide critical water storage but little is known about their greenhouse gas (GHG) footprint. While there is growing appreciation of the role reservoirs play as GHG sources, there is a lack of understanding of GHG emission dynamics from reservoirs in arid regions and implications for environmental policy. Here we present initial GHG emission measurements from Lake Powell, a large water storage reservoir in the desert southwest United States. We report CO<sub>2</sub>-eq emissions from the shallow (&lt; 15 m) littoral regions of the reservoir that are higher than the global average areal emissions from reservoirs (9.4 vs. 5.8 g CO<sub>2</sub>-eq m<sup>−2</sup><span>&nbsp;</span>d<sup>−1</sup>) whereas fluxes from the main reservoir were two orders of magnitude lower (0.09 g CO<sub>2</sub>-eq m<sup>−2</sup><span>&nbsp;</span>d<sup>−1</sup>). We then compared our measurements to modeled CO<sub>2</sub><span>&nbsp;</span>+ CH<sub>4</sub><span>&nbsp;</span>emissions from the reservoir using four global scale models. Factoring these emissions into hydropower production at Lake Powell yielded low GHG emissions per MWh<sup>−1</sup><span>&nbsp;</span>as compared to fossil-fuel based energy sources. With the exception of one model, the estimated hydropower emissions for Lake Powell ranged from 10−32 kg CO<sub>2</sub>-eq MWh<sup>−1</sup>, compared to ∼400−1000 kg CO<sub>2</sub>-eq MWh<sup>−1</sup><span>&nbsp;</span>for natural gas, oil, and coal. We also estimate that reduced littoral habitat under low water levels leads to ∼50% reduction in the CO<sub>2</sub><span>&nbsp;</span>equivalent emissions per MWh. The sensitivity of GHG emissions to reservoir water levels suggests that the interaction will be an important policy consideration in the design and operation of arid region systems.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsci.2021.02.006","usgsCitation":"Waldo, S., Deemer, B., Bair, L.S., and Beaulieu, J.J., 2021, Greenhouse gas emissions from an arid-zone reservoir and their environmental policy significance: Results from existing global models and an exploratory dataset: Environmental Science and Policy, v. 120, p. 53-62, https://doi.org/10.1016/j.envsci.2021.02.006.","productDescription":"10 p.","startPage":"53","endPage":"62","ipdsId":"IP-120013","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":453216,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11252906","text":"External Repository"},{"id":436474,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PRW8JX","text":"USGS data release","linkHelpText":"Modeled and measured greenhouse gas emissions from Lake Powell and bathymetric analysis of tributary littoral habitat at different water levels"},{"id":384272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Utah","otherGeospatial":"Lake Powell","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.76391601562499,\n              36.98500309285596\n            ],\n            [\n              -110.11596679687499,\n              36.98500309285596\n            ],\n            [\n              -110.11596679687499,\n              38.151837403006766\n            ],\n            [\n              -111.76391601562499,\n              38.151837403006766\n            ],\n            [\n              -111.76391601562499,\n              36.98500309285596\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"120","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Waldo, Sarah","contributorId":255013,"corporation":false,"usgs":false,"family":"Waldo","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":811669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":811585,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bair, Lucas S. 0000-0002-9911-3624 lbair@usgs.gov","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":5270,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","email":"lbair@usgs.gov","middleInitial":"S.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":811586,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beaulieu, Jake J.","contributorId":191664,"corporation":false,"usgs":false,"family":"Beaulieu","given":"Jake","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":811670,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70218716,"text":"70218716 - 2021 - The tide turns: Episodic and localized cross-contamination of a California coastline with cyanotoxins","interactions":[],"lastModifiedDate":"2021-03-09T13:23:32.266991","indexId":"70218716","displayToPublicDate":"2021-03-04T07:18:08","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"title":"The tide turns: Episodic and localized cross-contamination of a California coastline with cyanotoxins","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><p id=\"spara011\"><span>The contamination of coastal ecosystems from a variety of toxins of marine algal origin is a common and well-documented situation along the coasts of the United States and globally. The occurrence of toxins originating from cyanobacteria along marine coastlines is much less studied, and little information exists on whether toxins from marine and freshwater sources co-occur regularly. The current study focused on the discharge of cyanotoxins from a coastal lagoon (Santa Clara River Estuary) as a consequence of an extreme tide event (King Tides; December 3–5, 2017) resulting in a breach of the berm separating the lagoon from the ocean. Monthly monitoring in the lagoon throughout 2017 documented more than a dozen co-occurring cyanobacterial genera, as well as multiple algal and cyanobacterial toxins. Biotoxin monitoring before and following the King Tide event using Solid Phase Adsorption Toxin Tracking (SPATT) in the lagoon and along the coast revealed the co-occurrence of microcystins, anatoxin,&nbsp;domoic acid, and other toxins on multiple dates and locations. Domoic acid was ubiquitously present in SPATT deployed in the lagoon and along the coast.&nbsp;</span>Microcystins<span>&nbsp;were also commonly detected in both locations, although the beach berm retained the lagoonal water for much of the year.&nbsp;Mussels&nbsp;collected along the coast contained microcystins in approximately half the samples, particularly following the King Tide event. Anatoxin was observed in SPATT only in late December, following the breach of the berm. Our findings indicate both episodic and persistent occurrence of both cyanotoxins and marine toxins may commonly contaminate coastlines in proximity to cyanobacteria-laden creeks and lagoons.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2021.102003","usgsCitation":"Tatters, A.O., Smith, J., Kudela, R.M., Hayashi, K., Howard, M.D., Donovan, A., Loftin, K.A., and Caron, D.A., 2021, The tide turns: Episodic and localized cross-contamination of a California coastline with cyanotoxins: Harmful Algae, v. 103, 102003, 13 p., https://doi.org/10.1016/j.hal.2021.102003.","productDescription":"102003, 13 p.","ipdsId":"IP-121797","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":453218,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.hal.2021.102003","text":"Publisher Index Page"},{"id":436475,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TEYRNC","text":"USGS data release","linkHelpText":"Liquid Chromatography Triple Quadrupole Mass Spectrometry (LC/MS/MS) analysis of cyanotoxins and algal toxins in estuary samples collected from California, USA, in 2016-17"},{"id":384240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Clara River Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.50927734374999,\n              34.03445260967645\n            ],\n            [\n              -118.86657714843749,\n              34.03445260967645\n            ],\n            [\n              -118.86657714843749,\n              34.58799745550482\n            ],\n            [\n              -119.50927734374999,\n              34.58799745550482\n            ],\n            [\n              -119.50927734374999,\n              34.03445260967645\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"103","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tatters, Avery O.","contributorId":247816,"corporation":false,"usgs":false,"family":"Tatters","given":"Avery","email":"","middleInitial":"O.","affiliations":[{"id":49660,"text":"California NanoSystems Institute, University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":811509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Jayme 0000-0002-9669-4427","orcid":"https://orcid.org/0000-0002-9669-4427","contributorId":254947,"corporation":false,"usgs":false,"family":"Smith","given":"Jayme","email":"","affiliations":[{"id":12704,"text":"Southern California Coastal Water Research Project","active":true,"usgs":false}],"preferred":false,"id":811510,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kudela, Raphael M.","contributorId":205181,"corporation":false,"usgs":false,"family":"Kudela","given":"Raphael","email":"","middleInitial":"M.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":811511,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayashi, Kendra","contributorId":247815,"corporation":false,"usgs":false,"family":"Hayashi","given":"Kendra","email":"","affiliations":[{"id":49659,"text":"Department of Ocean Science, University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":811512,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Howard, Meredith D. A. 0000-0002-1639-8143","orcid":"https://orcid.org/0000-0002-1639-8143","contributorId":247814,"corporation":false,"usgs":false,"family":"Howard","given":"Meredith","email":"","middleInitial":"D. A.","affiliations":[{"id":49658,"text":"Central Valley Regional Water Quality Control Board","active":true,"usgs":false}],"preferred":false,"id":811513,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Donovan, Ariel 0000-0002-8480-2793","orcid":"https://orcid.org/0000-0002-8480-2793","contributorId":222474,"corporation":false,"usgs":true,"family":"Donovan","given":"Ariel","email":"","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":811514,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":221964,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":811515,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Caron, David A.","contributorId":247817,"corporation":false,"usgs":false,"family":"Caron","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":49661,"text":"Department of Biological Sciences, University of Southern California","active":true,"usgs":false}],"preferred":false,"id":811516,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70228371,"text":"70228371 - 2021 - Extent, configuration and diversity of burned and forested areas predict bat richness in a fire-maintained forest","interactions":[],"lastModifiedDate":"2022-02-09T17:19:38.012266","indexId":"70228371","displayToPublicDate":"2021-03-03T11:13:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Extent, configuration and diversity of burned and forested areas predict bat richness in a fire-maintained forest","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Context</h3><p>Fire transforms, fragments and sometimes maintains forests, creating mosaics of burned and unburned patches. Highly mobile animals respond to resources in the landscape at a variety of spatial scales, yet we know little about their landscape-scale relationships with fire.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Objectives</h3><p>We aimed to identify drivers of bat richness in a landscape mosaic of forested and burned areas while identifying spatial scales at which bat richness was most strongly related to extent, configuration, and diversity measures of landscape-level habitat.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>We used multi-species hierarchical occupancy modelling to relate bat richness to landscape variables at 10 spatial scales, based on acoustic data collected in the Sierra Nevada, United States. We also assessed redundancy among landscape variable type (extent, configuration, and diversity) and between focal patch types (forested and burned).</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>Bat richness was positively associated with heterogenous landscapes, shown by positive associations with pyrodiversity, extent and mean area of burned patches, burned and forested edge density and patch density and relationships were generally consistent across scales. Extent of forest cover and burned areas were highly correlated, but configuration and diversity of these patch types diverged.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>Bat communities of our study area appear to be largely resilient to wildfire and adapted to more heterogenous forests and shorter-interval fire regimes that likely predominated before the fire suppression era.</p>","language":"English","publisher":"Springer Link","doi":"10.1007/s10980-021-01204-y","usgsCitation":"Blakey, R.V., Webb, E.B., Kesler, D.C., Siegel, R.B., Corcoran, D., Cole, J.S., and Johnson, M., 2021, Extent, configuration and diversity of burned and forested areas predict bat richness in a fire-maintained forest: Landscape Ecology, v. 36, p. 1101-1115, https://doi.org/10.1007/s10980-021-01204-y.","productDescription":"15 p.","startPage":"1101","endPage":"1115","ipdsId":"IP-114645","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":453221,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-021-01204-y","text":"Publisher Index Page"},{"id":395689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Plumas National Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.53649902343749,\n              39.72197606377427\n            ],\n            [\n              -120.00915527343749,\n              39.825413103424786\n            ],\n            [\n              -120.00915527343749,\n              39.96449067924025\n            ],\n            [\n              -120.30029296875,\n              40.212440718286466\n            ],\n            [\n              -120.59967041015624,\n              40.371658891506094\n            ],\n            [\n              -120.82489013671875,\n              40.348637376031725\n            ],\n            [\n              -121.0748291015625,\n              40.24389506699777\n            ],\n            [\n              -121.28082275390625,\n              39.953964380766394\n            ],\n            [\n              -120.53649902343749,\n              39.72197606377427\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","noUsgsAuthors":false,"publicationDate":"2021-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Blakey, R. V.","contributorId":275325,"corporation":false,"usgs":false,"family":"Blakey","given":"R.","email":"","middleInitial":"V.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":833995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833996,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kesler, D. C.","contributorId":275326,"corporation":false,"usgs":false,"family":"Kesler","given":"D.","email":"","middleInitial":"C.","affiliations":[{"id":37290,"text":"The Institute for Bird Populations","active":true,"usgs":false}],"preferred":false,"id":833997,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Siegel, R. B.","contributorId":216846,"corporation":false,"usgs":false,"family":"Siegel","given":"R.","email":"","middleInitial":"B.","affiliations":[{"id":37290,"text":"The Institute for Bird Populations","active":true,"usgs":false}],"preferred":false,"id":833998,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corcoran, D.","contributorId":275327,"corporation":false,"usgs":false,"family":"Corcoran","given":"D.","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":833999,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cole, J. S.","contributorId":275328,"corporation":false,"usgs":false,"family":"Cole","given":"J.","email":"","middleInitial":"S.","affiliations":[{"id":37290,"text":"The Institute for Bird Populations","active":true,"usgs":false}],"preferred":false,"id":834000,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Matthew mjjohnson@usgs.gov","contributorId":257370,"corporation":false,"usgs":false,"family":"Johnson","given":"Matthew","email":"mjjohnson@usgs.gov","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":834001,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70254661,"text":"70254661 - 2021 - Evidence of economical territory selection in a cooperative carnivore","interactions":[],"lastModifiedDate":"2024-06-06T13:48:49.302663","indexId":"70254661","displayToPublicDate":"2021-03-03T08:30:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of economical territory selection in a cooperative carnivore","docAbstract":"<p><span>As an outcome of natural selection, animals are probably adapted to select territories economically by maximizing benefits and minimizing costs of territory ownership. Theory and empirical precedent indicate that a primary benefit of many territories is exclusive access to food resources, and primary costs of defending and using space are associated with competition, travel and mortality risk. A recently developed mechanistic model for economical territory selection provided numerous empirically testable predictions. We tested these predictions using location data from grey wolves (</span><i>Canis lupus</i><span>) in Montana, USA. As predicted, territories were smaller in areas with greater densities of prey, competitors and low-use roads, and for groups of greater size. Territory size increased before decreasing curvilinearly with greater terrain ruggedness and harvest mortalities. Our study provides evidence for the economical selection of territories as a causal mechanism underlying ecological patterns observed in a cooperative carnivore. Results demonstrate how a wide range of environmental and social conditions will influence economical behaviour and resulting space use. We expect similar responses would be observed in numerous territorial species. A mechanistic approach enables understanding how and why animals select particular territories. This knowledge can be used to enhance conservation efforts and more successfully predict effects of conservation actions.</span></p>","language":"English","publisher":"Royal Society Publishing","doi":"10.1098/rspb.2021.0108","usgsCitation":"Sells, S., Mitchell, M.S., Podruzny, K.M., Gude, J., Keever, A., Boyd, D.K., Smucker, T., Nelson, A.A., Parks, T.W., Lance, N.J., Ross, M.S., and Inman, R.M., 2021, Evidence of economical territory selection in a cooperative carnivore: Proceedings of the Royal Society B: Biological Sciences, v. 288, no. 1946, 20210108, 10 p., https://doi.org/10.1098/rspb.2021.0108.","productDescription":"20210108, 10 p.","ipdsId":"IP-117340","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":453222,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2021.0108","text":"Publisher Index Page"},{"id":429567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.08877003673587,\n              44.55851622753937\n            ],\n            [\n              -111.01954445634132,\n              45.006216335518786\n            ],\n            [\n              -109.88568441833408,\n              45.02694790231254\n            ],\n            [\n              -110.44629837852148,\n              46.88835068087367\n            ],\n            [\n              -111.27201160324742,\n              48.61396980297374\n            ],\n            [\n              -111.58092912979785,\n              49.00065430775106\n            ],\n            [\n              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-111.08877003673587,\n              44.55851622753937\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"288","issue":"1946","noUsgsAuthors":false,"publicationDate":"2021-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Sells, Sarah N.","contributorId":276102,"corporation":false,"usgs":false,"family":"Sells","given":"Sarah N.","affiliations":[{"id":50219,"text":"um","active":true,"usgs":false}],"preferred":false,"id":902246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Podruzny, Kevin M.","contributorId":85865,"corporation":false,"usgs":true,"family":"Podruzny","given":"Kevin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":902247,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gude, Justin A.","contributorId":95780,"corporation":false,"usgs":true,"family":"Gude","given":"Justin A.","affiliations":[],"preferred":false,"id":902248,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keever, Allison","contributorId":187743,"corporation":false,"usgs":false,"family":"Keever","given":"Allison","email":"","affiliations":[],"preferred":false,"id":902249,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boyd, Diane K.","contributorId":337179,"corporation":false,"usgs":false,"family":"Boyd","given":"Diane","email":"","middleInitial":"K.","affiliations":[{"id":80987,"text":"fwp","active":true,"usgs":false}],"preferred":false,"id":902250,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smucker, T.D.","contributorId":32404,"corporation":false,"usgs":true,"family":"Smucker","given":"T.D.","email":"","affiliations":[],"preferred":false,"id":902251,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nelson, Abigail A.","contributorId":69042,"corporation":false,"usgs":true,"family":"Nelson","given":"Abigail","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":902252,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Parks, Tyler W.","contributorId":337252,"corporation":false,"usgs":false,"family":"Parks","given":"Tyler","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":902253,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lance, Nathan J.","contributorId":337253,"corporation":false,"usgs":false,"family":"Lance","given":"Nathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":902254,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ross, Michael S.","contributorId":45406,"corporation":false,"usgs":true,"family":"Ross","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":902255,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Inman, Robert M.","contributorId":337254,"corporation":false,"usgs":false,"family":"Inman","given":"Robert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":902256,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70218768,"text":"70218768 - 2021 - Preconditioning by sediment accumulation can produce powerful turbidity currents without major external triggers","interactions":[],"lastModifiedDate":"2021-03-12T14:09:09.118235","indexId":"70218768","displayToPublicDate":"2021-03-03T08:07:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Preconditioning by sediment accumulation can produce powerful turbidity currents without major external triggers","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0020\" class=\"abstract author\"><div id=\"as0020\"><p id=\"sp0110\">Turbidity currents dominate sediment transfer into the deep ocean, and can damage critical seabed infrastructure. It is commonly inferred that powerful turbidity currents are triggered by major external events, such as storms, river floods, or earthquakes. However, basic models for turbidity current triggering remain poorly tested, with few studies accurately recording precise flow timing. Here, we analyse the most detailed series of measurements yet made of powerful (up to 7.2 m&nbsp;s<sup>−1</sup>) turbidity currents, within Monterey Canyon, offshore California. During 18-months of instrument deployment, fourteen turbidity currents were directly monitored. No consistent triggering mechanism was observed, though flows did cluster around enhanced seasonal sediment supply. We compare turbidity current timing at Monterey Canyon (a sandy canyon-head fed by longshore drift) to the only other systems where numerous (&gt;10-100) flows have been measured precisely via direct monitoring; the Squamish Delta (a sandy fjord-head delta), and the Congo Canyon (connected to the mud-dominated mouth of the Congo River). A common seasonal pattern emerges, leading to a new model for preconditioning and triggering of turbidity currents initiating through slope failure in areas of sediment accumulation, such as canyon heads or river mouths. In this model, rapid or sustained sediment supply alone can produce elevated pore pressures, which may persist, thereby predisposing slopes to fail. Once preconditioned, a range of minor external perturbations, such as moderate storm-waves, result in local pore pressure variation, and thus become effective triggers. Major external triggers are therefore not always a prerequisite for triggering of powerful turbidity currents.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2021.116845","usgsCitation":"Bailey, L., Clare, M., Rosenberger, K.J., Cartigny, M.J., Talling, P.J., Paull, C.K., Gwiazda, R., Parsons, D., Simmons, S., Xu, J., Haigh, I., Maier, K.L., McGann, M., and Lundsten, E.M., 2021, Preconditioning by sediment accumulation can produce powerful turbidity currents without major external triggers: Earth and Planetary Science Letters, v. 562, 116845, 14 p., https://doi.org/10.1016/j.epsl.2021.116845.","productDescription":"116845, 14 p.","ipdsId":"IP-113145","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":453226,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2021.116845","text":"Publisher Index Page"},{"id":384350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"562","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bailey, Lewis","contributorId":221394,"corporation":false,"usgs":false,"family":"Bailey","given":"Lewis","email":"","affiliations":[{"id":40360,"text":"National Oceanography Centre, Southampton, UK","active":true,"usgs":false}],"preferred":false,"id":811757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clare, Michael","contributorId":213585,"corporation":false,"usgs":false,"family":"Clare","given":"Michael","email":"","affiliations":[{"id":38805,"text":"National Oceanography Centre, University of Southampton Waterfront Campus, European Way, Southampton, SO14 3ZH, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":811758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberger, Kurt J. 0000-0002-5185-5776 krosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5185-5776","contributorId":140453,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt","email":"krosenberger@usgs.gov","middleInitial":"J.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":811759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cartigny, Matthieu J.B.","contributorId":195513,"corporation":false,"usgs":false,"family":"Cartigny","given":"Matthieu","email":"","middleInitial":"J.B.","affiliations":[],"preferred":false,"id":811760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Talling, Peter J.","contributorId":195515,"corporation":false,"usgs":false,"family":"Talling","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":811761,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paull, Charles K. 0000-0001-5940-3443","orcid":"https://orcid.org/0000-0001-5940-3443","contributorId":55825,"corporation":false,"usgs":false,"family":"Paull","given":"Charles","email":"","middleInitial":"K.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":true,"id":811762,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gwiazda, Roberto","contributorId":147193,"corporation":false,"usgs":false,"family":"Gwiazda","given":"Roberto","email":"","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":811763,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Parsons, Daniel","contributorId":216508,"corporation":false,"usgs":false,"family":"Parsons","given":"Daniel","affiliations":[{"id":39462,"text":"University of Hull, UK","active":true,"usgs":false}],"preferred":false,"id":811764,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Simmons, Stephen","contributorId":216507,"corporation":false,"usgs":false,"family":"Simmons","given":"Stephen","affiliations":[{"id":39462,"text":"University of Hull, UK","active":true,"usgs":false}],"preferred":false,"id":811765,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Xu, Jingping","contributorId":195514,"corporation":false,"usgs":false,"family":"Xu","given":"Jingping","affiliations":[],"preferred":false,"id":811766,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Haigh, Ivan","contributorId":255082,"corporation":false,"usgs":false,"family":"Haigh","given":"Ivan","email":"","affiliations":[{"id":33401,"text":"University of Southampton, UK","active":true,"usgs":false}],"preferred":false,"id":811767,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Maier, Katherine L. 0000-0003-2908-3340","orcid":"https://orcid.org/0000-0003-2908-3340","contributorId":206421,"corporation":false,"usgs":false,"family":"Maier","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":37324,"text":"Monterey Bay Aquarium Research Institute","active":true,"usgs":false}],"preferred":false,"id":811768,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":811769,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lundsten, Eve M.","contributorId":147191,"corporation":false,"usgs":false,"family":"Lundsten","given":"Eve","email":"","middleInitial":"M.","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":811770,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70219143,"text":"70219143 - 2021 - Stationary hydroacoustics demonstrates vessel avoidance biases during mobile hydroacoustic surveys of alewife in Lake Ontario","interactions":[],"lastModifiedDate":"2021-03-25T12:45:24.894145","indexId":"70219143","displayToPublicDate":"2021-03-03T07:43:32","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Stationary hydroacoustics demonstrates vessel avoidance biases during mobile hydroacoustic surveys of alewife in Lake Ontario","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab005\" class=\"abstract author\" lang=\"en\"><div id=\"as005\"><p id=\"sp0005\"><span>Mobile&nbsp;hydroacoustic&nbsp;surveys are routinely used to estimate pelagic&nbsp;</span>fish abundance<span>. In the Great Lakes, alewife are commonly surveyed with mobile hydroacoustics, however, their behavior often has them associated with epilimnetic habitats which increases the potential for vessel avoidance to bias hydroacoustic observations. Abundance estimates from mobile hydroacoustic surveys are typically made using depth and size thresholds to classify targets to species. In hydroacoustic surveys, fish can appear to be smaller when oriented off horizontal axis, as is common with fish displaying vessel avoidance behaviour. This presents a problem where alewives that are diving may appear too small to be correctly classified. We compared alewife swimming behaviours and&nbsp;target strength&nbsp;distributions between stationary up-looking and mobile down-looking hydroacoustics to quantify how vessel avoidance may bias hydroacoustic observations. Alewives from the mobile survey were found to be diving away from the surface, moving faster and in more linear paths than the undisturbed fish from the stationary survey. In the mobile survey, alewives were observed at smaller target strength values than would be expected if boat avoidance was not occurring. Our results suggest that alewife behavioral changes associated with vessel avoidance affect the number and size of targets classified as alewife from mobile hydroacoustic surveys in Lake Ontario.</span></p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.01.013","usgsCitation":"Elliot, C., Holden, J., Connerton, M., Weidel, B., and Tufts, B., 2021, Stationary hydroacoustics demonstrates vessel avoidance biases during mobile hydroacoustic surveys of alewife in Lake Ontario: Journal of Great Lakes Research, no. 47, p. 514-521, https://doi.org/10.1016/j.jglr.2021.01.013.","productDescription":"8 p.","startPage":"514","endPage":"521","ipdsId":"IP-118278","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":384663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.540771484375,\n              43.141078106345866\n            ],\n            [\n              -75.047607421875,\n              43.141078106345866\n            ],\n            [\n              -75.047607421875,\n              44.59829048984011\n            ],\n            [\n              -80.540771484375,\n              44.59829048984011\n            ],\n            [\n              -80.540771484375,\n              43.141078106345866\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","issue":"47","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Elliot, Conner","contributorId":256635,"corporation":false,"usgs":false,"family":"Elliot","given":"Conner","email":"","affiliations":[{"id":36943,"text":"Queens University","active":true,"usgs":false}],"preferred":false,"id":812914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holden, Jeremy","contributorId":139654,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","affiliations":[{"id":12864,"text":"OMNRF","active":true,"usgs":false}],"preferred":false,"id":812915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connerton, Michael","contributorId":251649,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":812916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":812917,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tufts, Bruce","contributorId":256637,"corporation":false,"usgs":false,"family":"Tufts","given":"Bruce","email":"","affiliations":[{"id":36943,"text":"Queens University","active":true,"usgs":false}],"preferred":false,"id":812918,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70218786,"text":"70218786 - 2021 - When introduced prey violates trophic hierarchy: Conservation of an endangered predator","interactions":[],"lastModifiedDate":"2021-03-12T13:44:18.036253","indexId":"70218786","displayToPublicDate":"2021-03-03T07:43:14","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"When introduced prey violates trophic hierarchy: Conservation of an endangered predator","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0050\"><span>Introduced species often disrupt established food webs, but some native predators can come to rely on introduced prey. Understanding the net effects of the non-natives on imperiled predators is crucial for&nbsp;planning conservation&nbsp;measures. The invasive American bullfrog (</span><span><i>Lithobates catesbeianus</i></span><span>) can be prey, predator, and competitor for the critically endangered San Francisco&nbsp;garter snake&nbsp;(</span><i>Thamnophis sirtalis tetrataenia</i><span>). We examined the seasonal prey use of a San Francisco garter snake population that co-occurs with American bullfrogs to examine&nbsp;intraguild predation&nbsp;between these species. Juvenile and adult snakes mainly consumed native anurans instead of American bullfrogs, and this diet pattern peaked in spring, a critical foraging period for the snakes. In spring, large adult American bullfrogs also foraged heavily on native anurans and displayed a high degree of diet overlap with San Francisco garter snakes. Invasive American bullfrogs are detrimental to San Francisco garter snakes mainly through seasonal competition rather than reciprocal predation. Removal of&nbsp;invasive species&nbsp;provided further evidence that eliminating American bullfrogs can benefit San Francisco garter snakes by reducing predation pressure on their shared amphibian prey. Better understanding the interactions of invasive species with native&nbsp;species of conservation&nbsp;concern informs management practices and improves conservation outcomes.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2021.109019","usgsCitation":"Kim, R., Halstead, B., Routman, E.J., and Anderson, J., 2021, When introduced prey violates trophic hierarchy: Conservation of an endangered predator: Biological Conservation, v. 256, 109019, 12 p., https://doi.org/10.1016/j.biocon.2021.109019.","productDescription":"109019, 12 p.","ipdsId":"IP-117929","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":384344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"256","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kim, Richard 0000-0001-5891-0582 rkim@usgs.gov","orcid":"https://orcid.org/0000-0001-5891-0582","contributorId":204478,"corporation":false,"usgs":true,"family":"Kim","given":"Richard","email":"rkim@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":811852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":811853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Routman, Eric J.","contributorId":210343,"corporation":false,"usgs":false,"family":"Routman","given":"Eric","email":"","middleInitial":"J.","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":811854,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Julie","contributorId":255136,"corporation":false,"usgs":false,"family":"Anderson","given":"Julie","email":"","affiliations":[{"id":51442,"text":"Midpeninsula Regional Open Space District, 330 Distel Circle, Los Altos, CA 94022, United States of America","active":true,"usgs":false}],"preferred":false,"id":811855,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70220584,"text":"70220584 - 2021 - Organic petrographic evaluation of carbonaceous material in sediments of the Kinnickinnic River, Milwaukee, WI, U.S.A.","interactions":[],"lastModifiedDate":"2021-05-20T12:48:36.583937","indexId":"70220584","displayToPublicDate":"2021-03-03T07:39:08","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Organic petrographic evaluation of carbonaceous material in sediments of the Kinnickinnic River, Milwaukee, WI, U.S.A.","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0055\"><span>This study examines the use of organic petrology techniques to quantify the amount of coal and carbonaceous combustion by-products (i.e., coke, coal tar/pitch, cenospheres) in sediments taken from the Kinnickinnic River adjacent to the former site of the Milwaukee Solvay Coke and Gas Company. These materials are of concern as contaminants like polycyclic aromatic hydrocarbons (PAHs) are known to readily adsorb to coal and combustion byproducts. Kinnickinnic&nbsp;River sediment&nbsp;samples (n = 36) ranging in depth (1–11 ft.) were collected from eight core locations to quantify and characterize carbonaceous material in the sediments. To determine the amount (vol%) of organic particulates,&nbsp;U.S.&nbsp;Geological Survey (USGS) modified the existing ASTM D2799 using the following categories: coal, coke, coal tar/pitch, inertinite organics, plant material, cenospheres, and mineral matter. Coal fragments were subdivided by rank using&nbsp;vitrinite reflectance&nbsp;(R</span><sub>o</sub>, %) and organic components were further subdivided into the size fractions of coarse (250–1000 μm), fine (63–250 μm), and very fine (&lt;63 μm). Of the 36 samples analyzed, concentrations of coal, coke, and coal tar/pitch ranged from 0 to 18.2 vol%, 0 to 32.0 vol%, and 0 to 2.6 vol%, respectively, with the highest concentrations occurring near point sources (e.g. discharge pipe and coal unloading operations). Samples that were furthest upstream and downstream from the Solvay site exhibited a marked decrease in particulate organics, with exception of one upstream location which had 19.8 vol% coke. Overall, the modified ASTM method provided a means to quantify the abundance of carbonaceous material present in the sediments. Petrography and total PAH concentrations did not provide a clear correlation to organic matter type or size fraction but the samples with the highest vol% organic matter in each core generally corresponded to the sample with the highest bulk PAH content.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.145704","usgsCitation":"Valentine, B.J., Krahling, J.H., and Mueller, S.D., 2021, Organic petrographic evaluation of carbonaceous material in sediments of the Kinnickinnic River, Milwaukee, WI, U.S.A.: Science of the Total Environment, v. 782, 145704, 11 p., https://doi.org/10.1016/j.scitotenv.2021.145704.","productDescription":"145704, 11 p.","ipdsId":"IP-119110","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":385787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Milwaukee","otherGeospatial":"Kinnickinnic River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.26416015625,\n              42.8054768278603\n            ],\n            [\n              -87.7587890625,\n              42.8054768278603\n            ],\n            [\n              -87.7587890625,\n              43.23119629494612\n            ],\n            [\n              -88.26416015625,\n              43.23119629494612\n            ],\n            [\n              -88.26416015625,\n              42.8054768278603\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"782","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":816089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krahling, John H","contributorId":258245,"corporation":false,"usgs":false,"family":"Krahling","given":"John","email":"","middleInitial":"H","affiliations":[],"preferred":false,"id":816090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller, Stephen D.","contributorId":236934,"corporation":false,"usgs":false,"family":"Mueller","given":"Stephen","email":"","middleInitial":"D.","affiliations":[{"id":47570,"text":"Wisconsin Dept. of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":816091,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70218816,"text":"70218816 - 2021 - Automated telemetry reveals post-reintroduction exploratory behavior and movement patterns of an endangered corvid, ʻAlalā (Corvus hawaiiensis) in Hawaiʻi, USA","interactions":[],"lastModifiedDate":"2021-03-15T12:41:06.997567","indexId":"70218816","displayToPublicDate":"2021-03-03T07:37:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Automated telemetry reveals post-reintroduction exploratory behavior and movement patterns of an endangered corvid, ʻAlalā (Corvus hawaiiensis) in Hawaiʻi, USA","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0010\" class=\"abstract author\"><div id=\"abs0010\"><p id=\"sp0025\"><span>Continuous movement monitoring is a powerful tool for evaluating&nbsp;reintroduction&nbsp;techniques and assessing how well reintroduced animals are adjusting to the wild. However, to date, continuous monitoring has only occurred for large-bodied species capable of carrying heavy tracking devices. In this study we used an automated VHF radio telemetry array to investigate the exploratory behavior and movement patterns of critically endangered ʻAlalā (</span><i>Corvus hawaiiensis</i>), reintroduced to the Island of Hawaiʻi in 2017. The 11 juvenile ʻAlalā we tracked exhibited high site fidelity and initial survival. Over time the birds showed decreased time spent at the supplemental feeders, and transitioned to more focused use of the landscape, suggesting increased foraging on wild food items. Birds with seemingly less spatial neophobia at release also made larger post-release exploratory movements. This study provides the first evidence that 1) supplemental feeding can support site fidelity for reintroduced ʻAlalā without restricting a transition to independent foraging, and 2) that pre-release personality metrics may be useful predictors for predicting post-release movements of ʻAlalā. Our work is the first to demonstrate the utility and power of automated telemetry for monitoring the reintroduction of small species.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2021.e01522","usgsCitation":"Smetzer, J.R., Greggor, A.L., Paxton, K.L., Masuda, B., and Paxton, E., 2021, Automated telemetry reveals post-reintroduction exploratory behavior and movement patterns of an endangered corvid, ʻAlalā (Corvus hawaiiensis) in Hawaiʻi, USA: Global Ecology and Conservation, v. 26, e01522, 11 p., https://doi.org/10.1016/j.gecco.2021.e01522.","productDescription":"e01522, 11 p.","ipdsId":"IP-124403","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":453232,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2021.e01522","text":"Publisher Index Page"},{"id":436476,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ON5BP0","text":"USGS data release","linkHelpText":"Hawaii Island locations of reintroduced Alala from automated radio telemetry tracking system, 2017 cohort"},{"id":384374,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"26","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smetzer, Jennifer R","contributorId":255352,"corporation":false,"usgs":false,"family":"Smetzer","given":"Jennifer","email":"","middleInitial":"R","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":812162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greggor, Alison L","contributorId":255353,"corporation":false,"usgs":false,"family":"Greggor","given":"Alison","email":"","middleInitial":"L","affiliations":[{"id":38792,"text":"San Diego Zoo Global","active":true,"usgs":false}],"preferred":false,"id":812163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paxton, Kristina L. 0000-0003-2321-5090","orcid":"https://orcid.org/0000-0003-2321-5090","contributorId":41917,"corporation":false,"usgs":false,"family":"Paxton","given":"Kristina","email":"","middleInitial":"L.","affiliations":[{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":812164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Masuda, Bryce","contributorId":255354,"corporation":false,"usgs":false,"family":"Masuda","given":"Bryce","affiliations":[{"id":38792,"text":"San Diego Zoo Global","active":true,"usgs":false}],"preferred":false,"id":812165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":812166,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70219249,"text":"70219249 - 2021 - Causes of delayed outbreak responses and their impacts on epidemic spread","interactions":[],"lastModifiedDate":"2021-04-01T12:06:40.848622","indexId":"70219249","displayToPublicDate":"2021-03-03T07:04:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2567,"text":"Journal of the Royal Society Interface","active":true,"publicationSubtype":{"id":10}},"title":"Causes of delayed outbreak responses and their impacts on epidemic spread","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Livestock diseases have devastating consequences economically, socially and politically across the globe. In certain systems, pathogens remain viable after host death, which enables residual transmissions from infected carcasses. Rapid culling and carcass disposal are well-established strategies for stamping out an outbreak and limiting its impact; however, wait-times for these procedures, i.e. response delays, are typically farm-specific and time-varying due to logistical constraints. Failing to incorporate variable response delays in epidemiological models may understate outbreak projections and mislead management decisions. We revisited the 2001 foot-and-mouth epidemic in the United Kingdom and sought to understand how misrepresented response delays can influence model predictions. Survival analysis identified farm size and control demand as key factors that impeded timely culling and disposal activities on individual farms. Using these factors in the context of an existing policy to predict local variation in response times significantly affected predictions at the national scale. Models that assumed fixed, timely responses grossly underestimated epidemic severity and its long-term consequences. As a result, this study demonstrates how general inclusion of response dynamics and recognition of partial controllability of interventions can help inform management priorities during epidemics of livestock diseases.</p></div></div>","language":"English","publisher":"The Royal Society","doi":"10.1098/rsif.2020.0933","usgsCitation":"Tao, Y., Probert, W.J., Shea, K., Runge, M.C., Lafferty, K.D., Tildesley, M.J., and Ferrari, M.J., 2021, Causes of delayed outbreak responses and their impacts on epidemic spread: Journal of the Royal Society Interface, v. 18, no. 176, 20200933, 9 p., https://doi.org/10.1098/rsif.2020.0933.","productDescription":"20200933, 9 p.","ipdsId":"IP-122243","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":453234,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsif.2020.0933","text":"Publisher Index Page"},{"id":384797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"176","noUsgsAuthors":false,"publicationDate":"2021-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Tao, Y","contributorId":256921,"corporation":false,"usgs":false,"family":"Tao","given":"Y","email":"","affiliations":[{"id":37180,"text":"UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":813409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Probert, William J. M. 0000-0002-3437-759X","orcid":"https://orcid.org/0000-0002-3437-759X","contributorId":216183,"corporation":false,"usgs":false,"family":"Probert","given":"William","email":"","middleInitial":"J. M.","affiliations":[{"id":25447,"text":"University of Oxford","active":true,"usgs":false}],"preferred":false,"id":813410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shea, Katriona 0000-0002-7607-8248","orcid":"https://orcid.org/0000-0002-7607-8248","contributorId":193646,"corporation":false,"usgs":false,"family":"Shea","given":"Katriona","email":"","affiliations":[],"preferred":false,"id":813411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":813412,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813413,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tildesley, Michael J.","contributorId":126971,"corporation":false,"usgs":false,"family":"Tildesley","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6620,"text":"University of Nottingham, School of Biology","active":true,"usgs":false}],"preferred":false,"id":813414,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ferrari, Matthew J. 0000-0001-5251-8168","orcid":"https://orcid.org/0000-0001-5251-8168","contributorId":216186,"corporation":false,"usgs":false,"family":"Ferrari","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":813415,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70219487,"text":"70219487 - 2021 - Weather and distance to fire refugia limit landscape‐level occurrence of fungal disease in an exotic annual grass","interactions":[],"lastModifiedDate":"2021-06-01T17:43:01.522505","indexId":"70219487","displayToPublicDate":"2021-03-03T07:03:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Weather and distance to fire refugia limit landscape‐level occurrence of fungal disease in an exotic annual grass","docAbstract":"<ol class=\"\"><li>The enemy release hypothesis proposes that invasion by exotic plant species is driven by their release from natural enemies (i.e. herbivores and pathogens) in their introduced ranges. However, in many cases, natural enemies, which may be introduced or managed to regulate invasive species, may fail to impact target host populations. Landscape heterogeneity, which can affect both the population dynamics of the pathogen and the susceptibility and the density of hosts, may contribute to why pathogens fail to control hosts despite established negative disease impacts.</li><li>We explored patterns of post‐fire infection of the fungal head‐smut pathogen<span>&nbsp;</span><i>Ustilago bullata</i><span>&nbsp;</span>on the invasive annual cheatgrass<span>&nbsp;</span><i>Bromus tectorum</i>, which has caused the notorious grass‐fire cycle and ecosystem degradation across Western North America. We asked whether infection level was a driver of host density or vice‐versa, and how weather affected infection and how spatial patterns of infection varied with time since fire, using a combination of structural equation modelling (SEM), proportional odds modelling and entropy‐based local indicator of spatial association (ELSA) on data from &gt;700 plots spanning &gt;100,000&nbsp;ha remeasured annually for 4&nbsp;years.</li><li>Observed infection levels increased with greater prior‐year cheatgrass cover, and disease severity did not suppress cheatgrass populations. Warm, humid fall/winters and proximity to fire refugia (unburned patches) were associated with more infections. Infection clustering was most evident 2–3&nbsp;years following fire with warm‐wet fall–winter conditions and decreased after two drier, colder winters.</li><li><i>Synthesis</i>. Severity of fungal disease did not result in measurable reductions of populations of a non‐native, invasive host species, cheatgrass, which suggests that natural enemies may not strongly regulate cheatgrass in its introduced range. Landscape heterogeneity associated with disturbance and weather limited population‐level infection of hosts by the fungal pathogen. Disturbance (specifically wildfire) and variable weather are key components of this and similar invasion systems, and likely need to be considered when evaluating disease dynamics and potential for natural enemies to influence invasion potential.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.13638","usgsCitation":"Applestein, C., Simler-Williamson, A.B., and Germino, M., 2021, Weather and distance to fire refugia limit landscape‐level occurrence of fungal disease in an exotic annual grass: Journal of Ecology, v. 109, no. 5, p. 2247-2260, https://doi.org/10.1111/1365-2745.13638.","productDescription":"14 p.","startPage":"2247","endPage":"2260","ipdsId":"IP-125900","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":453237,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.13638","text":"Publisher Index Page"},{"id":436478,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UQIAPV","text":"USGS data release","linkHelpText":"Head smut infections on cheatgrass cover in the first four years after the 2015 Soda Wildfire"},{"id":384961,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"109","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Applestein, Cara 0000-0002-7923-8526","orcid":"https://orcid.org/0000-0002-7923-8526","contributorId":205748,"corporation":false,"usgs":true,"family":"Applestein","given":"Cara","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":813780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simler-Williamson, Allison Barbara 0000-0003-1358-1919","orcid":"https://orcid.org/0000-0003-1358-1919","contributorId":257068,"corporation":false,"usgs":true,"family":"Simler-Williamson","given":"Allison","email":"","middleInitial":"Barbara","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":813781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":813782,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70218797,"text":"70218797 - 2021 - Global political responsibility for the conservation of albatrosses and large petrels","interactions":[],"lastModifiedDate":"2021-03-12T13:36:30.254453","indexId":"70218797","displayToPublicDate":"2021-03-03T06:59:17","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Global political responsibility for the conservation of albatrosses and large petrels","docAbstract":"<p><span>Migratory marine species cross political borders and enter the high seas, where the lack of an effective global management framework for biodiversity leaves them vulnerable to threats. Here, we combine 10,108 tracks from 5775 individual birds at 87 sites with data on breeding population sizes to estimate the relative year-round importance of national jurisdictions and high seas areas for 39 species of albatrosses and large petrels. Populations from every country made extensive use of the high seas, indicating the stake each country has in the management of biodiversity in international waters. We quantified the links among national populations of these threatened seabirds and the regional fisheries management organizations (RFMOs) which regulate fishing in the high seas. This work makes explicit the relative responsibilities that each country and RFMO has for the management of shared biodiversity, providing invaluable information for the conservation and management of migratory species in the marine realm.</span></p>","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.abd7225","usgsCitation":"Beal, M., Dias, M.P., Phillips, R.A., Oppel, S., Hazin, C., Pearmin, E.J., Adams, J., Anderson, D.J., Antolos, M., Arata, J.A., Arcos, J.M., Arnould, J.P., Awkerman, J., Bell, E., Bell, M., Carey, M., Carle, R., Clay, T.A., Cleeland, J., Colodro, V., Conners, M.G., Cruz-Flores, M., Cuthbert, R., Delord, K., Deppe, L., Dilley, B., Dinis, H.A., Elliot, G., de Felipe, F., Felis, J.J., Forero, M.G., Freeman, A., Fukuda, A., Gonzalez-Solis, J., Granadeiro, J.P., Hedd, A., Hodum, P., Igual, J.M., Jaeger, A., Landers, T.J., Matthieu, L., Makhado, A., Metzger, B., Militao, T., Montevecchi, W.A., Morera-Pujol, V., Navarro-Herrero, L., Nel, D., Nicholls, D., Oro, D., Ouni, R., Ozaki, K., Quintana, F., Ramos, R., Reid, T., Reyes-Gonzalez, J.M., Robertson, C., Robertson, G., Romdhane, M.S., Ryan, P.G., Sagar, P., Sato, F., Schoombie, S., Scofield, R.P., Shaffer, S.A., Shah, N.J., Stevens, K.L., Surman, C., Suryan, R.M., Takahashi, A., Tatayah, V., Taylor, G., Thompson, D.R., Torres, L., Walker, K., Wanless, R.M., Waugh, S.M., Weimerskirch, H., Yamamoto, T., Zajkova, Z., Zango, L., and Catry, P., 2021, Global political responsibility for the conservation of albatrosses and large petrels: Science Advances, v. 7, no. 10, 13 p., https://doi.org/10.1126/sciadv.abd7225.","productDescription":"13 p.","ipdsId":"IP-120301","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":453244,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.abd7225","text":"Publisher Index Page"},{"id":384342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Beal, Martin 0000-0003-1654-1410","orcid":"https://orcid.org/0000-0003-1654-1410","contributorId":255181,"corporation":false,"usgs":false,"family":"Beal","given":"Martin","email":"","affiliations":[{"id":51458,"text":"MARE—Marine and Environmental Sciences Centre, ISPA—Instituto Universitário, Lisboa, Portugal","active":true,"usgs":false}],"preferred":false,"id":811917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dias, Maria P. 0000-0002-7281-4391","orcid":"https://orcid.org/0000-0002-7281-4391","contributorId":255182,"corporation":false,"usgs":false,"family":"Dias","given":"Maria","email":"","middleInitial":"P.","affiliations":[{"id":51458,"text":"MARE—Marine and Environmental Sciences Centre, ISPA—Instituto Universitário, Lisboa, Portugal","active":true,"usgs":false}],"preferred":false,"id":811918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Phillips, Richard A. 0000-0002-0208-1444","orcid":"https://orcid.org/0000-0002-0208-1444","contributorId":255183,"corporation":false,"usgs":false,"family":"Phillips","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":51459,"text":"British Antarctic Survey, Natural Environment Research Council, High Cross, Madingley Road, Cambridge CB3 0ET, UK","active":true,"usgs":false}],"preferred":false,"id":811919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oppel, Steffen 0000-0002-8220-3789","orcid":"https://orcid.org/0000-0002-8220-3789","contributorId":216431,"corporation":false,"usgs":false,"family":"Oppel","given":"Steffen","email":"","affiliations":[],"preferred":false,"id":811920,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hazin, Carolina","contributorId":255184,"corporation":false,"usgs":false,"family":"Hazin","given":"Carolina","email":"","affiliations":[{"id":51460,"text":"BirdLife International, The David Attenborough Building, Pembroke Street, Cambridge CB2 3QZ, UK","active":true,"usgs":false}],"preferred":false,"id":811921,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearmin, Elizabeth J. 0000-0002-6600-1482","orcid":"https://orcid.org/0000-0002-6600-1482","contributorId":255185,"corporation":false,"usgs":false,"family":"Pearmin","given":"Elizabeth","email":"","middleInitial":"J.","affiliations":[{"id":51460,"text":"BirdLife International, The David Attenborough Building, Pembroke Street, Cambridge CB2 3QZ, UK","active":true,"usgs":false}],"preferred":false,"id":811922,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Adams, Josh 0000-0003-3056-925X","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":213442,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":811923,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Anderson, David J 0000-0002-0826-7784","orcid":"https://orcid.org/0000-0002-0826-7784","contributorId":255186,"corporation":false,"usgs":false,"family":"Anderson","given":"David","email":"","middleInitial":"J","affiliations":[{"id":51461,"text":"Department of Biology, Wake Forest University, Winston Salem, NC 27109 USA","active":true,"usgs":false}],"preferred":false,"id":811924,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Antolos, Michelle 0000-0003-0626-6021","orcid":"https://orcid.org/0000-0003-0626-6021","contributorId":64873,"corporation":false,"usgs":false,"family":"Antolos","given":"Michelle","email":"","affiliations":[],"preferred":false,"id":811925,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Arata, Javier A 0000-0001-7320-0511","orcid":"https://orcid.org/0000-0001-7320-0511","contributorId":255187,"corporation":false,"usgs":false,"family":"Arata","given":"Javier","email":"","middleInitial":"A","affiliations":[{"id":51462,"text":"Independent researcher, 204-100 Coe Hill Dr, Toronto, ON M6S 3E1, Canada","active":true,"usgs":false}],"preferred":false,"id":811926,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Arcos, Jose Manuel","contributorId":255188,"corporation":false,"usgs":false,"family":"Arcos","given":"Jose","email":"","middleInitial":"Manuel","affiliations":[{"id":51463,"text":"SEO/BirdLife, Marine Programme, C/Murcia 2-8, local 13, 08026 Barcelona, 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Y. 0000-0003-1124-9330","orcid":"https://orcid.org/0000-0003-1124-9330","contributorId":255189,"corporation":false,"usgs":false,"family":"Arnould","given":"John","email":"","middleInitial":"P. Y.","affiliations":[{"id":51464,"text":"School of Life and Environmental Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC 3125, Australia","active":true,"usgs":false}],"preferred":false,"id":811928,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Awkerman, Jill 0000-0001-6692-5792","orcid":"https://orcid.org/0000-0001-6692-5792","contributorId":255190,"corporation":false,"usgs":false,"family":"Awkerman","given":"Jill","email":"","affiliations":[{"id":51465,"text":"Gulf Ecology Division, U.S. Environmental Protection Agency, Gulf Breeze, FL 32561, USA","active":true,"usgs":false}],"preferred":false,"id":811929,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bell, Elizabeth 0000-0002-1587-8241","orcid":"https://orcid.org/0000-0002-1587-8241","contributorId":49736,"corporation":false,"usgs":false,"family":"Bell","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":811930,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Bell, Mike","contributorId":221045,"corporation":false,"usgs":false,"family":"Bell","given":"Mike","email":"","affiliations":[],"preferred":false,"id":811931,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Carey, Mark","contributorId":191447,"corporation":false,"usgs":false,"family":"Carey","given":"Mark","affiliations":[],"preferred":false,"id":811932,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Carle, Ryan 0000-0002-8213-4306","orcid":"https://orcid.org/0000-0002-8213-4306","contributorId":169799,"corporation":false,"usgs":false,"family":"Carle","given":"Ryan","email":"","affiliations":[{"id":25597,"text":"Oikonos Ecosystem 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0000-0001-6720-951X","orcid":"https://orcid.org/0000-0001-6720-951X","contributorId":197702,"corporation":false,"usgs":false,"family":"Delord","given":"Karine","email":"","affiliations":[],"preferred":false,"id":811940,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Deppe, Lorna","contributorId":255195,"corporation":false,"usgs":false,"family":"Deppe","given":"Lorna","email":"","affiliations":[{"id":51470,"text":"The Hutton’s Shearwater Charitable Trust, 100 Watsons Road, Blenheim 7273, New Zealand","active":true,"usgs":false}],"preferred":false,"id":811941,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Dilley, Ben J","contributorId":255196,"corporation":false,"usgs":false,"family":"Dilley","given":"Ben J","affiliations":[{"id":51467,"text":"FitzPatrick Institute of African Ornithology, DST-NRF Centre of Excellence, University of Cape Town, Rondebosch 7701, South 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,{"id":70219041,"text":"70219041 - 2021 - The smell of success: Reproductive success related to rub behavior in brown bears","interactions":[],"lastModifiedDate":"2021-03-22T11:40:45.060045","indexId":"70219041","displayToPublicDate":"2021-03-03T06:33:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7774,"text":"PLoSOne","active":true,"publicationSubtype":{"id":10}},"title":"The smell of success: Reproductive success related to rub behavior in brown bears","docAbstract":"<p><span>Several species of bears are known to rub deliberately against trees and other objects, but little is known about why bears rub. Patterns in rubbing behavior of male and female brown bears (</span><i>Ursus arctos</i><span>) suggest that scent marking via rubbing functions to communicate among potential mates or competitors. Using DNA from bear hairs collected from rub objects in southwestern Alberta from 2011–2014 and existing DNA datasets from Montana and southeastern British Columbia, we determined sex and individual identity of each bear detected. Using these data, we completed a parentage analysis. From the parentage analysis and detection data, we determined the number of offspring, mates, unique rub objects where an individual was detected, and sampling occasions during which an individual was detected for each brown bear identified through our sampling methods. Using a Poisson regression, we found a positive relationship between bear rubbing behavior and reproductive success; both male and female bears with a greater number of mates and a greater number of offspring were detected at more rub objects and during more occasions. Our results suggest a fitness component to bear rubbing, indicate that rubbing is adaptive, and provide insight into a poorly understood behaviour.</span></p>","language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0247964","usgsCitation":"Morehouse, A.T., Loosen, A.E., Graves, T., and Boyce, M.S., 2021, The smell of success: Reproductive success related to rub behavior in brown bears: PLoSOne, v. 16, no. 3, e0247964, 15 p., https://doi.org/10.1371/journal.pone.0247964.","productDescription":"e0247964, 15 p.","ipdsId":"IP-103408","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":453246,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0247964","text":"Publisher Index Page"},{"id":384524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","state":"Wyoming, Montana, British Columbia, Alberta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.3447265625,\n              48.22467264956519\n            ],\n            [\n              -113.4228515625,\n              48.22467264956519\n            ],\n            [\n              -113.4228515625,\n              50.93073802371819\n            ],\n            [\n              -118.3447265625,\n              50.93073802371819\n            ],\n            [\n              -118.3447265625,\n              48.22467264956519\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Morehouse, Andrea T. 0000-0002-2015-9938","orcid":"https://orcid.org/0000-0002-2015-9938","contributorId":182510,"corporation":false,"usgs":false,"family":"Morehouse","given":"Andrea","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":812538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loosen, Anne E.","contributorId":194655,"corporation":false,"usgs":false,"family":"Loosen","given":"Anne","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":812539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":812540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyce, Mark S.","contributorId":113205,"corporation":false,"usgs":false,"family":"Boyce","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":12980,"text":"Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":812541,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70218636,"text":"sir20215010 - 2021 - Groundwater management process simulations using an updated version of the three-dimensional numerical model of groundwater flow in northern Utah Valley, Utah County, Utah","interactions":[],"lastModifiedDate":"2021-04-08T21:43:33.834314","indexId":"sir20215010","displayToPublicDate":"2021-03-02T20:39:28","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5010","displayTitle":"Groundwater Management Process Simulations Using an Updated Version of the Three-Dimensional Numerical Model of Groundwater Flow in Northern Utah Valley, Utah County, Utah","title":"Groundwater management process simulations using an updated version of the three-dimensional numerical model of groundwater flow in northern Utah Valley, Utah County, Utah","docAbstract":"<p>Groundwater is a primary source of drinking water in northern Utah County. The groundwater system is recharged mainly from precipitation in the adjacent Wasatch Mountains and infiltration of streamflow. In 2004, groundwater withdrawals were estimated to be roughly 44,500 acre-feet per year. In 2016, groundwater withdrawals were estimated to be greater than 63,400 acre-feet per year. To prepare for anticipated future increases in groundwater withdrawals, local cities identified 16 locations as feasible for managed aquifer recharge. Using an updated version of an existing U.S. Geological Survey groundwater flow model of northern Utah County, the Groundwater-Management Process for MODFLOW-2005 was used to investigate optimal managed aquifer recharge scenarios with the objective of maintaining acceptable reductions in simulated discharge at 12 groundwater discharge areas and flowing wells along Utah Lake.</p><p>The Groundwater-Management Process is applied to a 50-year (2017–66) projection of groundwater conditions using average recharge conditions and a linear increase of approximately 750 acre-feet per year of municipal groundwater withdrawals. Two sets of discharge constraints were applied. The first scenario constrains discharge to greater than or equal to 80 percent of the 2016 simulated groundwater discharge along Utah Lake. The constraint was met with a total managed aquifer recharge rate of roughly 7,300 acre-feet per year during 2042–56, and 15,600 acre-feet per year during 2057–66. A second scenario constrains discharge to greater than or equal to 90 percent of the 2016 simulated discharge. This constraint can only be met at 8 of the 12 discharge areas along Utah Lake. This required a managed aquifer recharge rate of roughly 10,000 acre-feet per year during 2042–56 and 15,400 acre-feet per year during 2057–66. For both scenarios, the Groundwater-Management Process indicated that all managed aquifer recharge sites need to be used to meet discharges constraints. The discharge constraints were informally defined on the basis of the water rights hierarchy associated with Utah Lake.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215010","collaboration":"Prepared in cooperation with the North Utah County Aquifer Council","usgsCitation":"Stolp, B.J., and Brooks, L.E., 2021, Groundwater management process simulations using an updated version of the three-dimensional numerical model of groundwater flow in northern Utah Valley, Utah County, Utah: U.S. Geological Survey Scientific Investigations Report 2021–5010, 28 p., https://doi.org/10.3133/sir20215010.","productDescription":"vi, 28 p","numberOfPages":"28","ipdsId":"IP-119330","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":383759,"rank":4,"type":{"id":31,"text":"Publication 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href=\"mailto:dc_ut@usgs.gov\" data-mce-href=\"mailto:dc_ut@usgs.gov\">Director</a>,<br><a href=\"https://ut.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ut.water.usgs.gov\">Utah Water Science Center</a><br><a data-mce-href=\"https://usgs.gov\" href=\"https://usgs.gov\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>2329 West Orton Circle<br>Salt Lake City, Utah 84119-2047</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Updated Model</li><li>Assessment of the Updated Model</li><li>Prediction of Future Conditions</li><li>Future Monitoring</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2021-03-02","noUsgsAuthors":false,"publicationDate":"2021-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Stolp, Bernard J. 0000-0003-3803-1497 bjstolp@usgs.gov","orcid":"https://orcid.org/0000-0003-3803-1497","contributorId":963,"corporation":false,"usgs":true,"family":"Stolp","given":"Bernard","email":"bjstolp@usgs.gov","middleInitial":"J.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":811227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brooks, Lynette E. 0000-0002-9074-0939 lebrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-9074-0939","contributorId":2718,"corporation":false,"usgs":true,"family":"Brooks","given":"Lynette","email":"lebrooks@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":811228,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70221790,"text":"70221790 - 2021 - An increase in the slope of the concentration-discharge relation for total organic carbon in major rivers in New England, 1973 to 2019","interactions":[],"lastModifiedDate":"2021-07-07T00:53:13.702864","indexId":"70221790","displayToPublicDate":"2021-03-02T19:50:32","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"An increase in the slope of the concentration-discharge relation for total organic carbon in major rivers in New England, 1973 to 2019","docAbstract":"<p><span>The mobilization and transport of&nbsp;<a class=\"topic-link\" title=\"Learn more about organic carbon from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/organic-carbon\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/organic-carbon\">organic carbon</a>&nbsp;(OC) in rivers and delivery to the near-coastal ocean are important processes in the carbon cycle that are affected by both climate and anthropogenic activities. Riverine OC transport can affect carbon sequestration, contaminant transport,&nbsp;<a class=\"topic-link\" title=\"Learn more about ocean acidification from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/ocean-acidification\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/ocean-acidification\">ocean acidification</a>, the formation of toxic disinfection by-products, ocean temperature and phytoplankton productivity. There have been many studies reporting temporal trends in OC concentrations in comparatively small streams with minimal anthropogenic influences but there have been fewer studies on larger rivers and fewer still that have investigated changes in OC concentration-discharge (C-Q) relations. This study examined changes in C-Q relations for&nbsp;</span><a class=\"topic-link\" title=\"Learn more about total organic carbon from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/total-organic-carbon\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/total-organic-carbon\">total organic carbon</a><span>&nbsp;(TOC) from 1973 to 2019 in 8 rivers in New England, USA. TOC concentrations declined in all rivers, and in most rivers, and in most seasons, the slope of the C-Q relation increased between 1973 to 1995 and 1996 to 2019. The increase in C-Q slope between periods may be related to changes in the magnitude of TOC sources. The most likely sources to have changed are wastewater inputs, urban runoff, production through photosynthesis in aquatic systems, and runoff from agricultural and forestry practices. Changes in wetland abundance and changes in sulfate concentrations can be ruled out as drivers of the observed changes in C-Q.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.146149","usgsCitation":"Huntington, T., and Wieczorek, M., 2021, An increase in the slope of the concentration-discharge relation for total organic carbon in major rivers in New England, 1973 to 2019: Science of the Total Environment, v. 778, 146149, 17 p., https://doi.org/10.1016/j.scitotenv.2021.146149.","productDescription":"146149, 17 p.","ipdsId":"IP-119390","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":453249,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2021.146149","text":"Publisher Index Page"},{"id":436479,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OUOFYV","text":"USGS data release","linkHelpText":"Streamflow input datasets and model results using the Weighted Regressions on Time, Discharge, and Season (WRTDS) Models to estimate total organic carbon and other constituent concentrations in eight rivers in Connecticut, water years 1973 to 2019"},{"id":386981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70218260,"text":"ofr20201152 - 2021 - Spatial variation in population dynamics of northern Great Plains piping plovers","interactions":[],"lastModifiedDate":"2021-03-03T12:54:46.424713","indexId":"ofr20201152","displayToPublicDate":"2021-03-02T15:55:14","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1152","displayTitle":"Spatial Variation in Population Dynamics of Northern Great Plains Piping Plovers","title":"Spatial variation in population dynamics of northern Great Plains piping plovers","docAbstract":"<p>Metapopulation dynamics are determined not only by within-patch birth and death processes but also by between-patch movements of individuals (emigration and immigration). To conserve and manage a species that has a metapopulation structure, defined by local populations that are distributed among patches of suitable habitat, we need to understand each of these vital rates. For the federally listed northern Great Plains <i>Charadrius melodus</i> (Ord, 1824) (piping plover), managers assumed a metapopulation structure consisting of four breeding groups with low, balanced dispersal, which resulted in low extinction risk in a simulation-based viability study. The degree to which the northern Great Plains piping plover breeding population functions as a metapopulation depends on the rate of movement amongst breeding areas. Sources of variation in survival, dispersal probabilities, and dispersal distances were examined for hatch-year and adult piping plovers breeding in the northern Great Plains from 2014 to 2019 focusing on four management units (U.S. Alkali Wetlands, Lake Sakakawea, Garrison Reach of the Missouri River, and Lake Oahe). Additionally, renesting probabilities, renest reproductive success, and reproductive output were investigated from 2014 to 2016 in each of these areas to understand within-patch productivity. This report includes two major sections: (1) a presentation that includes the context, results, and implications of the study, followed by a detailed text methodology, and (2) an appendix that provides synthesized estimates of piping plover vital rates from throughout their range. River and alkali wetland habitats seem to be of higher quality than reservoir habitats, although alkali wetland habitats have lower annual survival, lower reproductive output, and lower fidelity probabilities than riverine habitats. Habitat availability drove dispersal probabilities and dispersal distances for hatch-year and adult piping plovers. Renesting propensity and renest reproductive success were generally low, suggesting that renesting is an uncommon and unproductive strategy to replace most lost reproductive attempts. Estimates indicated high connectivity between the U.S. Alkali Wetlands and the northern river units (Lake Sakakawea, Garrison Reach, Lake Oahe) of the Missouri River, suggesting that the assumed metapopulation structure and population viability may need to be reassessed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201152","collaboration":"Prepared in cooperation with U.S. Army Corps of Engineers and U.S. Fish and Wildlife Service","usgsCitation":"Swift, R.J., Anteau, M.J., Ellis, K.S., Ring, M.M., Sherfy, M.H., Toy, D.L., and Koons, D.N., 2021, Spatial variation in population dynamics of northern Great Plains piping plovers: U.S. Geological Survey Open-File Report 2020–1152, 211 p., https://doi.org/10.3133/ofr20201152.","productDescription":"Report: vii, 211 p.; 2 Data Releases","numberOfPages":"223","onlineOnly":"Y","ipdsId":"IP-124226","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":383503,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96PSOBQ","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Spatial variation in population dynamics of Northern Great Plains piping plovers, 2014–2019"},{"id":383502,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VAS8P7","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Renesting propensity, intervals, and reproductive success data for the Northern Great Plains Piping Plover, a threatened shorebird species 2014–2016"},{"id":383501,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1152/ofr20201152.pdf","text":"Report","size":"39.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1152"},{"id":383500,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1152/coverthb.jpg"}],"country":"United States","state":"Montana, North Dakota, South Dakota","otherGeospatial":"Northern Great Plains Piping Plovers","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.26171875,\n              43.197167282501276\n            ],\n            [\n              -98.8330078125,\n              43.67581809328341\n            ],\n            [\n              -99.31640625,\n              44.465151013519616\n            ],\n            [\n              -99.7998046875,\n              44.77793589631623\n            ],\n            [\n              -99.97558593749999,\n              46.042735653846506\n            ],\n            [\n              -99.97558593749999,\n              46.92025531537451\n            ],\n            [\n              -101.0302734375,\n              48.019324184801185\n            ],\n            [\n              -102.6123046875,\n              48.3416461723746\n            ],\n            [\n              -104.501953125,\n              48.8936153614802\n            ],\n            [\n              -105.029296875,\n              48.63290858589535\n            ],\n            [\n              -104.853515625,\n              47.989921667414194\n            ],\n            [\n              -103.798828125,\n              47.517200697839414\n            ],\n            [\n              -102.5244140625,\n              47.12995075666307\n            ],\n            [\n              -101.90917968749999,\n              46.619261036171515\n            ],\n            [\n              -101.25,\n              45.73685954736049\n            ],\n            [\n              -101.25,\n              44.43377984606822\n            ],\n            [\n              -101.0302734375,\n              43.51668853502906\n            ],\n            [\n              -100.1513671875,\n              43.100982876188546\n            ],\n            [\n              -99.2724609375,\n              42.8115217450979\n            ],\n            [\n              -98.0419921875,\n              42.97250158602597\n            ],\n            [\n              -98.26171875,\n              43.197167282501276\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/npwrc\" href=\"https://www.usgs.gov/centers/npwrc\">Northern Prairie Wildlife Research Center</a> <br>U.S. Geological Survey<br>8711 37th Street Southeast <br>Jamestown, ND</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Objectives</li><li>Presentation Slides</li><li>Study Species</li><li>Study Areas</li><li>Field Methods</li><li>Data Analysis</li><li>References Cited</li><li>Appendix 1. 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,{"id":70218244,"text":"tm9A6.4 - 2021 - Chapter A6.4. Measurement of pH","interactions":[{"subject":{"id":80047,"text":"twri09A6.4 - 2008 - Chapter A6. Section 6.4. pH","indexId":"twri09A6.4","publicationYear":"2008","noYear":false,"title":"Chapter A6. Section 6.4. pH"},"predicate":"SUPERSEDED_BY","object":{"id":70218244,"text":"tm9A6.4 - 2021 - Chapter A6.4. Measurement of pH","indexId":"tm9A6.4","publicationYear":"2021","noYear":false,"title":"Chapter A6.4. Measurement of pH"},"id":1}],"lastModifiedDate":"2021-03-02T16:39:27.505147","indexId":"tm9A6.4","displayToPublicDate":"2021-03-02T11:55:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"9-A6.4","displayTitle":"Chapter A6.4. 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The field methods for measuring pH described in this chapter are applicable to most natural waters.</p><p>Before 2017, the NFM chapters were released in the USGS Techniques of Water-Resources Investigations series. Effective in 2018, new and revised NFM chapters are being released in the USGS Techniques and Methods series; this series change does not affect the content and format of the NFM. More information is in the general introduction to the NFM (USGS Techniques and Methods, book 9, chapter A0) at <a href=\"https://doi.org/10.3133/tm9A0\" data-mce-href=\"https://doi.org/10.3133/tm9A0\">https://doi.org/10.3133/tm9A0</a>. The authoritative current versions of NFM chapters are available in the USGS Publications Warehouse at <a href=\"../\" data-mce-href=\"../\">https://pubs.er.usgs.gov/</a>. Comments, questions, and suggestions related to the NFM can be addressed to <a href=\"mailto:nfm@usgs.gov\" data-mce-href=\"mailto:nfm@usgs.gov\">nfm@usgs.gov</a>.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: National field manual for the collection of water-quality data in Book 9: Handbooks for water-resources investigations","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm9A6.4","usgsCitation":"U. S. Geological Survey, 2021, Chapter A6.4. Measurement of pH: U.S. Geological Survey Techniques and Methods 9-A6.4, vi, 21 p., https://doi.org/10.3133/tm9A6.4.","productDescription":"vi, 21 p.","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-083295","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":383369,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/tm/09/a6.4/versionHist.txt","size":"2.43 KB","linkFileType":{"id":2,"text":"txt"}},{"id":383368,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/tm9A0","text":"Techniques and Methods 9-A0","linkHelpText":"- General Introduction for the “National Field Manual for the Collection of Water-Quality Data”"},{"id":383364,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/09/a6.4/coverthb.jpg"},{"id":383365,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/09/a6.4/tm9a6.4.pdf","text":"Report","size":"2.46 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 9-A6.4"}],"publicComments":"Techniques and Methods 9-A6.4 supersedes Techniques of Water-Resources Investigations 09-A6.4, version 2.0.","contact":"<p>Director, Observing Systems Division<br><a href=\"https://www.usgs.gov/mission-areas/water-resources\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources\">Water Mission Area</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive, MS 432<br>Reston, VA 20192</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>1.0 Introduction</li><li>2.0 Equipment and Supplies</li><li>3.0 Maintenance and Preparation of pH Instruments</li><li>4.0 Calibration of the pH Instrument System</li><li>5.0 Measurement of pH</li><li>6.0 Quality Assurance/Quality Control for Measurements of pH</li><li>7.0 Reporting</li><li>8.0 Troubleshooting</li><li>Acknowledgments</li><li>Selected References</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"revisedDate":"2021-02-22","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"U. 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,{"id":70223895,"text":"70223895 - 2021 - The role of the Next Generation Lunar Scientists and Engineers (NextGen) group in lunar science and exploration","interactions":[],"lastModifiedDate":"2021-09-14T11:38:15.135228","indexId":"70223895","displayToPublicDate":"2021-03-02T09:35:26","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9343,"text":"Bulletin of the AAS","active":true,"publicationSubtype":{"id":10}},"title":"The role of the Next Generation Lunar Scientists and Engineers (NextGen) group in lunar science and exploration","docAbstract":"<p id=\"nbedkgz5q4s\" data-pm-slice=\"1 1 []\">Founded in 2008, the Next Generation Lunar Scientists and Engineers (NextGen) is a group of students and early career professionals who have a vision and passion for lunar science and exploration. NextGen organizes professional development opportunities through workshops and networking events that are designed to provide resources and training for scientists and engineers so that they are prepared to lead international lunar science and exploration programs. NextGen also provides a network of professional support and opportunities for the younger generation to lead in the field and to learn from more experienced generations of lunar scientists and engineers. Members of NextGen are actively engaged in scientific research, mission formulation/execution, community outreach, and professional activities. With the United States on the brink of a new era of lunar exploration, and many international space agencies preparing to send spacecraft to the Moon, NASA and the lunar community have recognized the importance of training and nurturing the next generation of lunar scientists and engineers. As the future workforce, it is imperative that students and early career professionals receive continued and increased support from NASA, industry, and the lunar community as a whole.</p>","language":"English","publisher":"American Astronomical Society","doi":"10.3847/25c2cfeb.9a3e0c6a","usgsCitation":"Watkins, R., Ostrach, L.R., Valencia, S., Stadermann, A., Bleacher, L., Petro, N.E., Caswell, T., Fagan, A., Jawin, E., Meyer, H., Phillips, D., O’Brien, H., and Next Generation Lunar Scientists and Engineers Group, 2021, The role of the Next Generation Lunar Scientists and Engineers (NextGen) group in lunar science and exploration: Bulletin of the AAS, v. 53, no. 2, 33 p., https://doi.org/10.3847/25c2cfeb.9a3e0c6a.","productDescription":"33 p.","ipdsId":"IP-100499","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":453250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3847/25c2cfeb.9a3e0c6a","text":"Publisher Index Page"},{"id":389151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Watkins, Ryan","contributorId":238477,"corporation":false,"usgs":false,"family":"Watkins","given":"Ryan","email":"","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":823165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ostrach, Lillian R. 0000-0002-3107-7321 lostrach@usgs.gov","orcid":"https://orcid.org/0000-0002-3107-7321","contributorId":193078,"corporation":false,"usgs":true,"family":"Ostrach","given":"Lillian","email":"lostrach@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":823166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valencia, Sarah","contributorId":238496,"corporation":false,"usgs":false,"family":"Valencia","given":"Sarah","email":"","affiliations":[{"id":39055,"text":"NASA GSFC","active":true,"usgs":false}],"preferred":false,"id":823167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stadermann, Amanda","contributorId":265656,"corporation":false,"usgs":false,"family":"Stadermann","given":"Amanda","email":"","affiliations":[],"preferred":false,"id":823168,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bleacher, Lora","contributorId":265657,"corporation":false,"usgs":false,"family":"Bleacher","given":"Lora","email":"","affiliations":[],"preferred":false,"id":823169,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Petro, Noah E.","contributorId":193909,"corporation":false,"usgs":false,"family":"Petro","given":"Noah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":823170,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Caswell, Tess","contributorId":265658,"corporation":false,"usgs":false,"family":"Caswell","given":"Tess","email":"","affiliations":[],"preferred":false,"id":823171,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fagan, Amy","contributorId":265659,"corporation":false,"usgs":false,"family":"Fagan","given":"Amy","email":"","affiliations":[],"preferred":false,"id":823172,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jawin, Erica","contributorId":149242,"corporation":false,"usgs":false,"family":"Jawin","given":"Erica","email":"","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":823173,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meyer, Heather","contributorId":238502,"corporation":false,"usgs":false,"family":"Meyer","given":"Heather","email":"","affiliations":[{"id":18878,"text":"The Johns Hopkins University Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":823174,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Phillips, Deanna","contributorId":237941,"corporation":false,"usgs":false,"family":"Phillips","given":"Deanna","email":"","affiliations":[{"id":47651,"text":"UAH","active":true,"usgs":false}],"preferred":false,"id":823175,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"O’Brien, Hannah","contributorId":265660,"corporation":false,"usgs":false,"family":"O’Brien","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":823176,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Next Generation Lunar Scientists and Engineers Group","contributorId":265661,"corporation":true,"usgs":false,"organization":"Next Generation Lunar Scientists and Engineers Group","id":823177,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70218462,"text":"tm2D4 - 2021 - Procedures for field data collection, processing, quality assurance and quality control, and archiving of relative- and absolute-gravity surveys","interactions":[],"lastModifiedDate":"2021-03-03T12:46:02.422101","indexId":"tm2D4","displayToPublicDate":"2021-03-02T08:20:17","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2-D4","displayTitle":"Procedures for Field Data Collection, Processing, Quality Assurance and Quality Control, and Archiving of Relative- and Absolute-Gravity Surveys","title":"Procedures for field data collection, processing, quality assurance and quality control, and archiving of relative- and absolute-gravity surveys","docAbstract":"<p>Repeat microgravity surveys carried out using relative- and absolute-gravity meters are useful for identifying changes in subsurface mass, such as the volume of water stored in an aquifer. These surveys require careful field procedures to achieve the part-per-billion accuracy required to measure the small changes in gravity relevant for hydrologic studies. This chapter describes techniques and methods for carrying out gravity surveys, requirements for assuring high-quality survey results, and data processing and archival procedures. The focus is on acquiring and documenting repeat gravity surveys for monitoring changes in groundwater storage. Similar gravity surveys may be completed to evaluate other causes of mass change, such as those caused by magma movement below volcanoes. The methods are also useful for one-time surveys that map spatial gravity variations associated with geologic structures such as faults or sedimentary basins.</p><p>Repeat microgravity surveys can be carried out using relative-gravity meters, absolute-gravity meters, or both. Specific locations, known as gravity stations, are visited during each survey. Most commonly, absolute- and relative-gravity are combined using the least-squares method of network adjustment, much like benchmark elevations and relative-height differences in a leveling network. This chapter primarily describes the use of the A-10 absolute-gravity meter manufactured by Micro-g LaCoste, Inc., and relative-gravity meters made by LaCoste &amp; Romberg (no longer in production) and ZLS Corporation, Inc. Field and office procedures are similar for other instruments such as the FG-5 absolute-gravity meter and Scintrex relative-gravity meters, but some adaptation may be required. Quality control for absolute-gravity data focuses primarily on proper field procedures and maintaining the time and distance calibration of the instrument. Quality control for relative-gravity surveys requires careful field procedures, an understanding of how the meter is behaving while in the field, and appropriate postprocessing.</p><p>The techniques and methods described in this chapter were developed over 30 years at the USGS Arizona Water Science Center and the Southwest Gravity Program and are the basis for many studies on groundwater-storage change and geologic structure. A description of the Program and complete bibliography is available at <a data-mce-href=\"https://www.usgs.gov/centers/az-water/science/azwsc-capabilities-hydrologic-gravity-monitoring\" href=\"https://www.usgs.gov/centers/az-water/science/azwsc-capabilities-hydrologic-gravity-monitoring\" target=\"_blank\" rel=\"noopener\">https://www.usgs.gov/centers/az-water/science/azwsc-capabilities-hydrologic-gravity-monitoring</a>.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm2D4","usgsCitation":"Kennedy, J.R., Pool, D.R., and Carruth, R.L., 2021, Procedures for field data collection, processing, quality assurance and quality control, and archiving of relative- and absolute-gravity surveys: U.S. Geological Survey Techniques and Methods, book 2, chap. D4, 50 p., https://doi.org/10.3133/tm2D4.","productDescription":"Report: vi, 50 p., 2 Software Releases","numberOfPages":"50","ipdsId":"IP-080752","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":383655,"rank":4,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P9DDGIS7","linkHelpText":"- Gravity Data Spreadsheets"},{"id":383654,"rank":3,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P9YEIOU8","linkHelpText":"- GSadjust v1.0"},{"id":383652,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/02/d04/covrthb.jpg"},{"id":383653,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/02/d04/tm2d4.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"}}],"contact":"<p><a href=\"mailto:dc_az@usgs.gov\" data-mce-href=\"mailto:dc_az@usgs.gov\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/az-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/az-water\">Arizona Water Science Center</a><br><a data-mce-href=\"https://www.usgs.gov/\" href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>520 N. Park Avenue<br>Tucson, AZ 85719</p>","tableOfContents":"<ul><li>Introduction</li><li>Purpose and Scope</li><li>Principles of Precise Repeat Microgravity Surveys</li><li>Relative-Gravity Data Collection</li><li>Absolute-Gravity Data Collection</li><li>Survey Postprocessing</li><li>Data Releases</li><li>Gravity Stations</li><li>Summary</li><li>References</li><li>Glossary</li><li>Appendix 1. Relative-Gravity Meter Principles and Specifications</li><li>Appendix 2. The Gravity Data Spreadsheet</li><li>Appendix 3. GSadjust Software for Postprocessing and Network Adjustment</li><li>Appendix 4. Example Site Descriptions</li><li>Appendix 5. Field Forms and Checklists Collaborators</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-03-02","noUsgsAuthors":false,"publicationDate":"2021-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":2172,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":811012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pool, Donald R. drpool@usgs.gov","contributorId":1121,"corporation":false,"usgs":true,"family":"Pool","given":"Donald","email":"drpool@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":811013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carruth, Robert L. 0000-0001-7008-2927 rlcarr@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-2927","contributorId":194394,"corporation":false,"usgs":true,"family":"Carruth","given":"Robert","email":"rlcarr@usgs.gov","middleInitial":"L.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":811014,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70219425,"text":"70219425 - 2021 - Exploring biophysical linkages between coastal forestry management practices and aquatic bivalve contaminant exposure","interactions":[],"lastModifiedDate":"2021-04-05T13:20:41.514849","indexId":"70219425","displayToPublicDate":"2021-03-02T08:16:52","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7597,"text":"Toxics","active":true,"publicationSubtype":{"id":10}},"title":"Exploring biophysical linkages between coastal forestry management practices and aquatic bivalve contaminant exposure","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">Terrestrial land use activities present cross-ecosystem threats to riverine and marine species and processes. Specifically, pesticide runoff can disrupt hormonal, reproductive, and developmental processes in aquatic organisms, yet non-point source pollution is difficult to trace and quantify. In Oregon, U.S.A., state and federal forestry pesticide regulations, designed to meet regulatory water quality requirements, differ in buffer size and pesticide applications. We deployed passive water samplers and collected riverine and estuarine bivalves<span>&nbsp;</span><span class=\"html-italic\">Margaritifera falcata</span>,<span>&nbsp;</span><span class=\"html-italic\">Mya arenaria</span>, and<span>&nbsp;</span><span class=\"html-italic\">Crassostrea gigas</span><span>&nbsp;</span>from Oregon Coast watersheds to examine forestry-specific pesticide contamination. We used non-metric multidimensional scaling and regression to relate concentrations and types of pesticide contamination across watersheds to ownership and management metrics. In bivalve samples collected from eight coastal watersheds, we measured twelve unique pesticides (two herbicides; three fungicides; and seven insecticides). Pesticides were detected in 38% of bivalve samples; and frequency and maximum concentrations varied by season, species, and watershed with indaziflam (herbicide) the only current-use forestry pesticide detected. Using passive water samplers, we measured four current-use herbicides corresponding with planned herbicide applications; hexazinone and atrazine were most frequently detected. Details about types and levels of exposure provide insight into effectiveness of current forest management practices in controlling transport of forest-use pesticides.<span>&nbsp;</span><a onclick=\"if (!window.__cfRLUnblockHandlers) return false; ga('send', 'pageview', $(this).attr('href'));\" href=\"https://www.mdpi.com/2305-6304/9/3/46/htm\" data-mce-href=\"https://www.mdpi.com/2305-6304/9/3/46/htm\">View Full-Text</a></div>","language":"English","publisher":"MDPI Publishing","doi":"10.3390/toxics9030046","usgsCitation":"Scully-Engelmeyer, K., Granek, E.F., Nielsen-Pincus, M., Lanier, A., Rumrill, S.S., Moran, P.W., Nilsen, E., Hladik, M.L., and Pillsbury, L., 2021, Exploring biophysical linkages between coastal forestry management practices and aquatic bivalve contaminant exposure: Toxics, v. 9, no. 3, 46, 25 p., https://doi.org/10.3390/toxics9030046.","productDescription":"46, 25 p.","ipdsId":"IP-127182","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":453253,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/toxics9030046","text":"Publisher Index Page"},{"id":384870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -126.21093749999999,\n              41.934976500546604\n            ],\n            [\n              -120.5419921875,\n              41.934976500546604\n            ],\n            [\n              -120.5419921875,\n              46.558860303117164\n            ],\n            [\n              -126.21093749999999,\n              46.558860303117164\n            ],\n            [\n              -126.21093749999999,\n              41.934976500546604\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Scully-Engelmeyer, Kaegan","contributorId":256937,"corporation":false,"usgs":false,"family":"Scully-Engelmeyer","given":"Kaegan","email":"","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":813501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granek, Elise F.","contributorId":176630,"corporation":false,"usgs":false,"family":"Granek","given":"Elise","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":813502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nielsen-Pincus, Max","contributorId":169901,"corporation":false,"usgs":false,"family":"Nielsen-Pincus","given":"Max","email":"","affiliations":[{"id":25616,"text":"Department of Environmental Science and Management, Portland State University","active":true,"usgs":false}],"preferred":false,"id":813503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lanier, Andy","contributorId":256938,"corporation":false,"usgs":false,"family":"Lanier","given":"Andy","email":"","affiliations":[{"id":51905,"text":"Oregon Department of Land Conservation and Development","active":true,"usgs":false}],"preferred":false,"id":813504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rumrill, Steven S","contributorId":256939,"corporation":false,"usgs":false,"family":"Rumrill","given":"Steven","email":"","middleInitial":"S","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":813505,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813506,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nilsen, Elena 0000-0002-0104-6321","orcid":"https://orcid.org/0000-0002-0104-6321","contributorId":212096,"corporation":false,"usgs":true,"family":"Nilsen","given":"Elena","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813507,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":205314,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813508,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pillsbury, Lori","contributorId":176618,"corporation":false,"usgs":false,"family":"Pillsbury","given":"Lori","email":"","affiliations":[],"preferred":false,"id":813509,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70218777,"text":"70218777 - 2021 - Genomic comparison of carbapenem-resistant Enterobacteriaceae from humans and gulls in Alaska","interactions":[],"lastModifiedDate":"2021-04-08T15:12:48.927832","indexId":"70218777","displayToPublicDate":"2021-03-02T07:16:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7759,"text":"Journal of Global Antimicrobial Resistance","active":true,"publicationSubtype":{"id":10}},"title":"Genomic comparison of carbapenem-resistant Enterobacteriaceae from humans and gulls in Alaska","docAbstract":"<div id=\"abst0010\"><h3 id=\"sect0015\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Objectives</h3><p id=\"spar0025\">Wildlife may harbor clinically important antimicrobial resistant (AMR) bacteria, but the role of wildlife in the epidemiology of AMR bacterial infections in humans is largely unknown. In this study, we aimed to assess dissemination of the<i>bla</i><sub>KPC</sub><span>&nbsp;</span>carbapenemase gene among humans and gulls in Alaska.</p></div><div id=\"abst0015\"><h3 id=\"sect0020\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Methods</h3><p id=\"spar0030\">We performed whole genome sequencing to determine the genetic context of<i>bla</i><sub>KPC</sub><span>&nbsp;</span>in bacterial isolates from all four human carbapenemase-producing Enterobacteriaceae (CPE) infections reported in Alaska between 2013–2018 and to compare sequences to seven previously reported CPE isolates from gull feces within the same region and time period.</p></div><div id=\"abst0020\"><h3 id=\"sect0025\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Results</h3><p id=\"spar0035\">Genomic analysis of CPE isolates suggested independent acquisition events among humans with no evidence for direct transmission of<i>bla</i><sub>KPC</sub><span>&nbsp;</span>between people and gulls. However, some isolates shared conserved genetic elements surrounding<span>&nbsp;</span><i>bla</i><sub>KPC</sub>, suggesting possible exchange between species.</p></div><div id=\"abst0025\"><h3 id=\"sect0030\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Conclusions</h3><p id=\"spar0040\">Our results highlight the genomic plasticity associated with<i>bla</i><sub>KPC</sub><span>&nbsp;</span>and demonstrate that sampling of wildlife may be useful for identifying clinically relevant antimicrobial resistance not observed through local passive surveillance in humans.</p></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jgar.2021.02.028","usgsCitation":"Ahlstrom, C., Frick, A., Pongratz, C., Spink, K., Xavier, C., Bonnedahl, J., and Ramey, A.M., 2021, Genomic comparison of carbapenem-resistant Enterobacteriaceae from humans and gulls in Alaska: Journal of Global Antimicrobial Resistance, v. 25, p. 23-25, 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Christina 0000-0001-5414-8076","orcid":"https://orcid.org/0000-0001-5414-8076","contributorId":214540,"corporation":false,"usgs":true,"family":"Ahlstrom","given":"Christina","email":"","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":811798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frick, Anna","contributorId":255101,"corporation":false,"usgs":false,"family":"Frick","given":"Anna","email":"","affiliations":[{"id":51430,"text":"State of Alaska Department of Health and Social Services","active":true,"usgs":false}],"preferred":false,"id":811799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pongratz, Catherine","contributorId":255102,"corporation":false,"usgs":false,"family":"Pongratz","given":"Catherine","email":"","affiliations":[{"id":51430,"text":"State of Alaska Department of Health and Social Services","active":true,"usgs":false}],"preferred":false,"id":811800,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spink, Kimberly","contributorId":255103,"corporation":false,"usgs":false,"family":"Spink","given":"Kimberly","email":"","affiliations":[{"id":51430,"text":"State of Alaska Department of Health and Social Services","active":true,"usgs":false}],"preferred":false,"id":811801,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xavier, Catherine","contributorId":255104,"corporation":false,"usgs":false,"family":"Xavier","given":"Catherine","email":"","affiliations":[{"id":51430,"text":"State of Alaska Department of Health and Social Services","active":true,"usgs":false}],"preferred":false,"id":811802,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonnedahl, Jonas","contributorId":181800,"corporation":false,"usgs":false,"family":"Bonnedahl","given":"Jonas","email":"","affiliations":[],"preferred":false,"id":811803,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":811804,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70219248,"text":"70219248 - 2021 - Why is tree drought mortality so hard to predict?","interactions":[],"lastModifiedDate":"2021-05-18T14:04:24.328025","indexId":"70219248","displayToPublicDate":"2021-03-02T07:10:32","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Why is tree drought mortality so hard to predict?","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0050\">Widespread tree mortality following droughts has emerged as an environmentally and economically devastating ‘ecological surprise’. It is well established that tree physiology is important in understanding drought-driven mortality; however, the accuracy of predictions based on physiology alone has been limited. We propose that complicating factors at two levels stymie predictions of drought-driven mortality: (i) organismal-level physiological and site factors that obscure understanding of drought exposure and vulnerability and (ii) community-level ecological interactions, particularly with biotic agents whose effects on tree mortality may reverse expectations based on stress physiology. We conclude with a path forward that emphasizes the need for an integrative approach to stress physiology and biotic agent dynamics when assessing forest risk to drought-driven morality in a changing climate.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.tree.2021.02.001","usgsCitation":"Trugman, A.T., Anderegg, L.D., Anderegg, W.R., Das, A., and Stephenson, N.L., 2021, Why is tree drought mortality so hard to predict?: Trends in Ecology and Evolution, v. 36, no. 6, p. 520-523, https://doi.org/10.1016/j.tree.2021.02.001.","productDescription":"4 p.","startPage":"520","endPage":"523","ipdsId":"IP-126626","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":453260,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.tree.2021.02.001","text":"External Repository"},{"id":384798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Trugman, Anna T 0000-0002-7903-9711","orcid":"https://orcid.org/0000-0002-7903-9711","contributorId":245074,"corporation":false,"usgs":false,"family":"Trugman","given":"Anna","email":"","middleInitial":"T","affiliations":[{"id":49084,"text":"Department of Geography, 1832 Ellison Hall, Santa Barbara, CA, 93016 USA","active":true,"usgs":false}],"preferred":false,"id":813404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderegg, Leander D.L.","contributorId":256917,"corporation":false,"usgs":false,"family":"Anderegg","given":"Leander","email":"","middleInitial":"D.L.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":813405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderegg, William RL","contributorId":256918,"corporation":false,"usgs":false,"family":"Anderegg","given":"William","email":"","middleInitial":"RL","affiliations":[{"id":51896,"text":"University of Utah, Salt Lake City","active":true,"usgs":false}],"preferred":false,"id":813406,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813407,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813408,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70224614,"text":"70224614 - 2021 - Beach placer mineral deposits along localized paleoshorelines of the western Interior Seaway, upper cretaceous Fox Hills sandstone, eastern Denver Basin, Colorado","interactions":[],"lastModifiedDate":"2021-09-30T12:12:02.258589","indexId":"70224614","displayToPublicDate":"2021-03-02T07:10:04","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"RS-48","title":"Beach placer mineral deposits along localized paleoshorelines of the western Interior Seaway, upper cretaceous Fox Hills sandstone, eastern Denver Basin, Colorado","docAbstract":"<div class=\"summary entry-summary\"><div class=\"tabbed-content\"><div class=\"tabbed-content__container\"><div class=\"tabbed-content__body\"><div id=\"tabbed-content__section-1\" class=\"tabbed-content__section wysiwyg\"><p>Beach placers deposited within the Fox Hills Sandstone along the eastern flank of the Denver Basin contain minerals deemed critical in 2018 by the U.S. Department of the Interior. These marine beach placers, or paleoplacers, were deposited in the Late Cretaceous along the western edge of the retreating<span>&nbsp;</span>Western Interior Seaway<span>&nbsp;</span>(WIS). Preliminary investigations determined that these deposits contain potential critical mineral resources including titanium, zirconium, hafnium, and rare earth elements (REE). This report contains the results of a limited investigation conducted by the CGS in this area to provide additional information on the nature of these mineral deposits. The following tasks were completed during this investigation: review and summary of publicly available documents and publications; collection of samples and stratigraphic analysis of accessible outcrops; mineralogical analysis of select samples; and laboratory analysis of samples for select critical mineral concentrations. This report may assist with future mineral exploration efforts in this area and provide insight into the retreat of the WIS during the Late Cretaceous.</p></div></div></div></div></div>","language":"English","publisher":"Colorado Geological Survey","collaboration":"Colorado geolgical Survey, Colorado School of Mines","usgsCitation":"O’Keeffe, M.K., Dechesne, M., Morgan, M.J., Keller, S., Pfaff, K., Mahatma, A., and Peretyatko, A.I., 2021, Beach placer mineral deposits along localized paleoshorelines of the western Interior Seaway, upper cretaceous Fox Hills sandstone, eastern Denver Basin, Colorado.","ipdsId":"IP-119246","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":390032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":390031,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://coloradogeologicalsurvey.org/publications/placer-minerals-cretaceous-fox-hills-denver-basin-colorado/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"O’Keeffe, Michael K","contributorId":266068,"corporation":false,"usgs":false,"family":"O’Keeffe","given":"Michael","email":"","middleInitial":"K","affiliations":[{"id":12745,"text":"Colorado Geological Survey","active":true,"usgs":false}],"preferred":false,"id":824277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dechesne, Marieke 0000-0002-4468-7495","orcid":"https://orcid.org/0000-0002-4468-7495","contributorId":213936,"corporation":false,"usgs":true,"family":"Dechesne","given":"Marieke","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":824278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgan, Matthew J.","contributorId":171711,"corporation":false,"usgs":false,"family":"Morgan","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":824279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keller, Stephen M","contributorId":266069,"corporation":false,"usgs":false,"family":"Keller","given":"Stephen M","affiliations":[{"id":12745,"text":"Colorado Geological Survey","active":true,"usgs":false}],"preferred":false,"id":824280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pfaff, Katherina","contributorId":266070,"corporation":false,"usgs":false,"family":"Pfaff","given":"Katherina","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":824281,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mahatma, Asha","contributorId":266071,"corporation":false,"usgs":false,"family":"Mahatma","given":"Asha","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":824282,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peretyatko, Alexander I","contributorId":266072,"corporation":false,"usgs":false,"family":"Peretyatko","given":"Alexander","email":"","middleInitial":"I","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":824283,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70218648,"text":"70218648 - 2021 - Genomic association with pathogen carriage in bighorn sheep (Ovis canadensis)","interactions":[],"lastModifiedDate":"2021-04-08T15:02:05.800902","indexId":"70218648","displayToPublicDate":"2021-03-02T07:05:20","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Genomic association with pathogen carriage in bighorn sheep (Ovis canadensis)","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Genetic composition can influence host susceptibility to, and transmission of, pathogens, with potential population‐level consequences. In bighorn sheep (<i>Ovis canadensis</i>), pneumonia epidemics caused by<span>&nbsp;</span><i>Mycoplasma ovipneumoniae</i><span>&nbsp;</span>have been associated with severe population declines and limited recovery across North America. Adult survivors either clear the infection or act as carriers that continually shed<span>&nbsp;</span><i>M. ovipneumoniae</i><span>&nbsp;</span>and expose their susceptible offspring, resulting in high rates of lamb mortality for years following the outbreak event. Here, we investigated the influence of genomic composition on persistent carriage of<span>&nbsp;</span><i>M. ovipneumoniae</i><span>&nbsp;</span>in a well‐studied bighorn sheep herd in the Wallowa Mountains of Oregon, USA. Using 10,605 SNPs generated using RADseq technology for 25 female bighorn sheep, we assessed genomic diversity metrics and employed family‐based genome‐wide association methodologies to understand variant association and genetic architecture underlying chronic carriage. We observed no differences among genome‐wide diversity metrics (heterozygosity and allelic richness) between groups. However, we identified two variant loci of interest and seven associated candidate genes, which may influence carriage status. Further, we found that the SNP panel explained ~55% of the phenotypic variance (SNP‐based heritability) for<span>&nbsp;</span><i>M. ovipneumoniae</i><span>&nbsp;</span>carriage, though there was considerable uncertainty in these estimates. While small sample sizes limit conclusions drawn here, our study represents one of the first to assess the genomic factors influencing chronic carriage of a pathogen in a wild population and lays a foundation for understanding genomic influence on pathogen persistence in bighorn sheep and other wildlife populations. Future research should incorporate additional individuals as well as distinct herds to further explore the genomic basis of chronic carriage.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.7159","usgsCitation":"Martin, A., Cassirer, E.F., Waits, L.P., Plowright, R., Cross, P.C., and Andrews, K., 2021, Genomic association with pathogen carriage in bighorn sheep (Ovis canadensis): Ecology and Evolution, v. 11, no. 6, p. 2488-2502, https://doi.org/10.1002/ece3.7159.","productDescription":"15 p.","startPage":"2488","endPage":"2502","ipdsId":"IP-121922","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":453262,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.7159","text":"Publisher Index Page"},{"id":383814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.6416015625,\n              44.968684437948376\n            ],\n            [\n              -117.13348388671875,\n              44.968684437948376\n            ],\n            [\n              -117.13348388671875,\n              45.54098421805075\n            ],\n            [\n              -117.6416015625,\n              45.54098421805075\n            ],\n            [\n              -117.6416015625,\n              44.968684437948376\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Martin, Alynn 0000-0002-6603-2385","orcid":"https://orcid.org/0000-0002-6603-2385","contributorId":224233,"corporation":false,"usgs":true,"family":"Martin","given":"Alynn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":811270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cassirer, E. Frances","contributorId":23404,"corporation":false,"usgs":true,"family":"Cassirer","given":"E.","email":"","middleInitial":"Frances","affiliations":[],"preferred":false,"id":811271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waits, Lisette P.","contributorId":87673,"corporation":false,"usgs":true,"family":"Waits","given":"Lisette","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":811272,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plowright, Raina K.","contributorId":23038,"corporation":false,"usgs":true,"family":"Plowright","given":"Raina K.","affiliations":[],"preferred":false,"id":811273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cross, Paul C. 0000-0002-7413-9297 pcross@usgs.gov","orcid":"https://orcid.org/0000-0002-7413-9297","contributorId":253134,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":811274,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andrews, Kimberly R.","contributorId":253136,"corporation":false,"usgs":false,"family":"Andrews","given":"Kimberly R.","affiliations":[{"id":50491,"text":"Institute for Bioinformatics and Evolutionary Studies (IBEST), University of Idaho","active":true,"usgs":false}],"preferred":false,"id":811275,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70219578,"text":"70219578 - 2021 - Surface-air mercury fluxes and a watershed mass balance in forested and harvested catchments","interactions":[],"lastModifiedDate":"2021-04-14T11:58:36.120273","indexId":"70219578","displayToPublicDate":"2021-03-02T06:56:03","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Surface-air mercury fluxes and a watershed mass balance in forested and harvested catchments","docAbstract":"<p><span>Forest soils are among the world’s largest repositories for long-term accumulation of atmospherically deposited mercury (Hg), and understanding the potential for&nbsp;remobilization&nbsp;through gaseous emissions, aqueous dissolution and runoff, or erosive particulate transport to down-gradient aquatic ecosystems is critically important for projecting ecosystem recovery. Forestry operations, especially clear-cut logging where most of the vegetaiton is removed, can influence Hg mobility/fluxes, foodweb dynamics, and bioaccumulation processes. This paper measured surface-air Hg fluxes from catchments in the Pacific Northwest, USA, to determine if there is a difference between forested and logged catchments. These measurements were conducted as part of a larger project on the impact of forestry operations on Hg cycling which include measurements of&nbsp;water fluxes&nbsp;as well as impacts on biota. Surface-air Hg fluxes were measured using a commonly applied dynamic&nbsp;flux chamber&nbsp;(DFC) method that incorporated diel and seasonal variability in elemental Hg (Hg</span><sup>0</sup><span>) fluxes at multiple forested and harvested catchments. The results showed that the forested ecosystem had depositional Hg</span><sup>0</sup><span>&nbsp;fluxes throughout most of the year (annual mean:&nbsp;−0.26&nbsp;ng/m</span><sup>2</sup><span>/h). In contrast, the harvested catchments showed mostly emission of Hg</span><sup>0</sup><span>&nbsp;(annual mean: 0.63&nbsp;ng/m</span><sup>2</sup><span>/h). Differences in solar radiation reaching the soil was the primary driver resulting in a shift from net deposition to emission in harvested catchments. The surface-air Hg fluxes were larger than the fluxes to water as runoff and accounted for 97% of the differences in Hg sequestered in forested versus harvested catchments.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2021.116869","usgsCitation":"Eckley, C.S., Eagles-Smith, C., Tate, M., and Krabbenhoft, D.P., 2021, Surface-air mercury fluxes and a watershed mass balance in forested and harvested catchments: Environmental Pollution, v. 277, 116869, 9 p., https://doi.org/10.1016/j.envpol.2021.116869.","productDescription":"116869, 9 p.","ipdsId":"IP-125013","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":453264,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9175152","text":"Publisher Index Page"},{"id":385074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Oregon","otherGeospatial":"Gus Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.92028808593749,\n              45.606352077118316\n            ],\n            [\n              -123.1842041015625,\n              45.606352077118316\n            ],\n            [\n              -123.1842041015625,\n              46.069419674968515\n            ],\n            [\n              -123.92028808593749,\n              46.069419674968515\n            ],\n            [\n              -123.92028808593749,\n              45.606352077118316\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"277","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Eckley, Chris S. 0000-0002-6986-4451","orcid":"https://orcid.org/0000-0002-6986-4451","contributorId":246031,"corporation":false,"usgs":false,"family":"Eckley","given":"Chris","email":"","middleInitial":"S.","affiliations":[{"id":39312,"text":"U.S. EPA","active":true,"usgs":false}],"preferred":false,"id":814230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":814231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":814233,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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